Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:34:38.587351Z
Paper Citation Record · LEDGER
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers
As of 20 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 0 inbound Pith citation observations for arXiv:2411.19114.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
94 of 94 outbound references displayed
- verified exact1
- verified fuzzy72
- unresolved21
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b90477ed-2a68-4d0c-ba1e-76ca3ac8a861 · outbound
This paper cites https://www.graphcore.ai/products/c600.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers https://www.graphcore.ai/products/c600
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.156623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d82c1106-c23d-41e4-8c71-587b09a8c28c · outbound
This paper cites https://github.com/ewan-xu/LibrosaCpp.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers https://github.com/ewan-xu/LibrosaCpp
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.162526Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1b5dc41-4a46-426c-8537-7c391bd269c8 · outbound
This paper cites https://opencv.org/.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers https://opencv.org/
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.166700Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 947f3b1a-09f7-4dc4-9a1c-5cf1c2adf6b7 · outbound
This paper cites https://rebellions.ai/rebellions-product/atom-2/.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers https://rebellions.ai/rebellions-product/atom-2/
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.171776Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df85ff40-481d-4136-a44a-070a8911e0fa · outbound
This paper cites an unresolved cited work.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Unresolved cited work
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.178223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 368538f5-89a4-4288-a673-ef73c6774dd1 · outbound
This paper cites Albericio, P.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Albericio, P
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.182916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e256a65-6284-4045-8f32-6fe6c9e75f9e · outbound
This paper cites https://www.amazon.com/NVIDIA-Tesla-A100-Ampere- Graphics/dp/B0BGZJ27SL, 2024.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers https://www.amazon.com/NVIDIA-Tesla-A100-Ampere- Graphics/dp/B0BGZJ27SL, 2024
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.188961Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a11e36d1-7753-4423-8ddc-b32f01f93f6c · outbound
This paper cites Alveo U55C High Performance Compute Card.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Alveo U55C High Performance Compute Card
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.193129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 672c4573-2a89-4d08-a37a-d27400ca1ad8 · outbound
This paper cites AMD Vitis.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers AMD Vitis
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.198697Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a71ebe07-1802-401e-9df3-3cbf360f7dc4 · outbound
This paper cites Vitis Libraries.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Vitis Libraries
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.203154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a3346c8-53f2-4514-a7e7-58a0d1211315 · outbound
This paper cites Stanley Williams, Paolo Faraboschi, Wen mei Hwu, John Paul Strachan, Kaushik Roy, and Dejan S Milojicic.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Stanley Williams, Paolo Faraboschi, Wen mei Hwu, John Paul Strachan, Kaushik Roy, and Dejan S Milojicic
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.209239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a79bdf04-dd1d-4455-87a2-2eb6c4074f15 · outbound
This paper cites Enabling Programmable Transport Protocols in High-Speed NICs.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Enabling Programmable Transport Protocols in High-Speed NICs
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.214168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6cce3a4-0d9a-4293-a4c0-460a68386a45 · outbound
This paper cites AWS Nitro System.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers AWS Nitro System
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.224207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d115f016-9194-40aa-812f-a78116f6e820 · outbound
This paper cites AWS inferentia.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers AWS inferentia
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.229356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef61dfba-6131-4c19-ac9a-2c29d7576aaa · outbound
This paper cites Microsoft Announces Acquisition of Fungible to Ac- celerate Datacenter Innovation.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Microsoft Announces Acquisition of Fungible to Ac- celerate Datacenter Innovation
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.553211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8584f545-c02c-48e1-829c-9c3ab4fe9d59 · outbound
This paper cites F4T: A Fast and Flexible FPGA-based Full- stack TCP Acceleration Framework.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers F4T: A Fast and Flexible FPGA-based Full- stack TCP Acceleration Framework
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.541473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1702821a-82dc-4938-bbd9-35e550b33cd8 · outbound
This paper cites Sheaffer, Sang-Ha Lee, and Kevin Skadron.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Sheaffer, Sang-Ha Lee, and Kevin Skadron
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.530014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 32591356-8788-4c7c-8d0d-37c218949242 · outbound
This paper cites Prophet: Precise QoS Prediction on Non- Preemptive Accelerators to Improve Utilization in Warehouse-Scale Computers.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Prophet: Precise QoS Prediction on Non- Preemptive Accelerators to Improve Utilization in Warehouse-Scale Computers
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.518192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 77357582-4c79-43e5-ac8d-2ed79fc1a30f · outbound
This paper cites Baymax: QoS Awareness and Increased Utilization for Non-Preemptive Accelerators in Warehouse Scale Computers.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Baymax: QoS Awareness and Increased Utilization for Non-Preemptive Accelerators in Warehouse Scale Computers
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.504878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1a75a5d2-23b6-4a05-a9fc-65f9eeb32449 · outbound
This paper cites an unresolved cited work.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:34:39.493309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2ac47d41-23e2-4979-a764-805146d33231 · outbound
This paper cites BM-Store: A Transparent and High-performance Lo- cal Storage Architecture for Bare-metal Clouds Enabling Large-scale Deployment.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers BM-Store: A Transparent and High-performance Lo- cal Storage Architecture for Bare-metal Clouds Enabling Large-scale Deployment
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.482848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f8fb8185-6de1-4df3-9498-b41c46f0623e · outbound
This paper cites Dlbooster: Boosting End-to- End Deep Learning Workflows with Offloading Data Preprocessing Pipelines.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Dlbooster: Boosting End-to- End Deep Learning Workflows with Offloading Data Preprocessing Pipelines
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.470014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 739c17d8-08da-4a00-a393-bbfa0b18c26e · outbound
This paper cites Lazy Batching: An SLA-aware Batching System for Cloud Machine Learning Inference.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Lazy Batching: An SLA-aware Batching System for Cloud Machine Learning Inference
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.459740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1a82ed02-7bd8-469f-8cc6-5b5f05f7b2a6 · outbound
This paper cites PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.448897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3826b349-b9a3-423a-901d-23e845b2f3b9 · outbound
This paper cites Clipper: A Low-Latency Online Prediction Serving System.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Clipper: A Low-Latency Online Prediction Serving System
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.438798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 731d2606-35a2-4c91-9634-e4538e7244aa · outbound
This paper cites Everything you need to know about data center power.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Everything you need to know about data center power
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.427848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b0d37572-b773-4901-946a-69bd9d71e41d · outbound
This paper cites Neural Cache: Bit-serial In-cache Acceleration of Deep Neural Networks.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Neural Cache: Bit-serial In-cache Acceleration of Deep Neural Networks
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.415994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b65bc892-5b1e-421b-a70c-ff4b6ad7efa4 · outbound
This paper cites MAICC : A Lightweight Many-core Architecture with In-Cache Computing for Multi-DNN Parallel Infer- ence.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers MAICC : A Lightweight Many-core Architecture with In-Cache Computing for Multi-DNN Parallel Infer- ence
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.403712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e1c2c093-de63-4593-a9f1-1c718fe0e60c · outbound
This paper cites Low Latency RNN Inference with Cellular Batching.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Low Latency RNN Inference with Cellular Batching
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.392036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a31f8d57-7070-4226-916e-b764f620c53c · outbound
This paper cites Low Latency RNN Inference with Cellular Batching.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Low Latency RNN Inference with Cellular Batching
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.377428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8cdfcfe1-a5fe-4430-83b5-007e4564e503 · outbound
This paper cites Cachew: Machine Learning Input Data Processing as a Service.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Cachew: Machine Learning Input Data Processing as a Service
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.364194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a4ec59ba-36eb-4c60-a29c-6d4a13c3368f · outbound
This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Conformer: Convolution-augmented Transformer for Speech Recognition
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.351901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ce46d545-77ae-4572-8c68-c251c500d38b · outbound
This paper cites an unresolved cited work.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:34:39.339793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ed29906f-fd38-441a-a083-5a8d1eb4845b · outbound
This paper cites Hauswald, Y.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Hauswald, Y
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.328390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cf5c742e-d1f2-4ad5-bf44-4c93cb03ceb8 · outbound
This paper cites Searching for MobileNetV3.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Searching for MobileNetV3
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.318218Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbeefc74-709a-40cf-9b7a-2bf0c72d087b · outbound
This paper cites SK hynix Develops World’s Best Performing HBM3E, Provides Samples to Customer for Performance Evaluation.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers SK hynix Develops World’s Best Performing HBM3E, Provides Samples to Customer for Performance Evaluation
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.316783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e9d90883-9ca7-4cc6-b82f-7d76822d8ad4 · outbound
This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.326898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8c3500f-08b9-4cdb-9ae1-d42dc4bef9b8 · outbound
This paper cites ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012).
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012)
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.305630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fc0708e8-02b4-4e29-97ae-ff3206b4bda7 · outbound
This paper cites Intel Infrastructure Processing Unit (Intel IPU).https://www.intel.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Intel Infrastructure Processing Unit (Intel IPU).https://www.intel
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.294154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2ede64d5-d24c-46ab-b501-9dcd15ecb325 · outbound
This paper cites an unresolved cited work.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:34:39.283057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cbbbfd37-6d6f-4b72-81f9-dd317f3b7048 · outbound
This paper cites an unresolved cited work.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:34:39.272049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 075bd5e1-b316-44a3-ba01-4ea37ae45368 · outbound
This paper cites Rearchitecting the TCP Stack for I/O- Offloaded Content Delivery.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Rearchitecting the TCP Stack for I/O- Offloaded Content Delivery
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.261934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0605111c-8713-4332-bf95-dc44a1f96046 · outbound
This paper cites PARIS and ELSA: An Elastic Scheduling Algorithm for Reconfigurable Multi-GPU Inference Servers.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers PARIS and ELSA: An Elastic Scheduling Algorithm for Reconfigurable Multi-GPU Inference Servers
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.250758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6c10f836-d885-4e91-8053-8466cbde2607 · outbound
This paper cites Dcs-ctrl: A Fast and Flexible Device-Control Mechanism for Device-Centric Server Architecture.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Dcs-ctrl: A Fast and Flexible Device-Control Mechanism for Device-Centric Server Architecture
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.239418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 47a67db7-a1b3-4d76-8f9e-5268677d297b · outbound
This paper cites FVM: FPGA-assisted Virtual Device Emulation for Fast, Scalable, and Flexible Storage Virtualization.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers FVM: FPGA-assisted Virtual Device Emulation for Fast, Scalable, and Flexible Storage Virtualization
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.227699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 60cadf31-2d4b-4e3b-af78-4274dfba9cad · outbound
This paper cites A Fast and Flexible Hardware-based Virtualization Mechanism for Computational Storage Devices.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers A Fast and Flexible Hardware-based Virtualization Mechanism for Computational Storage Devices
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.216484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 69512591-776c-45c6-bce7-f8b536df6196 · outbound
This paper cites Char- acterizing Multi-Instance GPU for Machine Learning Workloads.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Char- acterizing Multi-Instance GPU for Machine Learning Workloads
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.204947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cfc802c0-d64e-469f-8393-c0273ae64d33 · outbound
This paper cites MISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant GPU Clusters.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers MISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant GPU Clusters
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.187682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 81a7f121-8198-43ea-8cc9-1a850918d67d · outbound
This paper cites Leapio: Efficient and Portable Virtual NVMe Storage on ARM SOCs.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Leapio: Efficient and Portable Virtual NVMe Storage on ARM SOCs
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.175643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f9f050a1-6ff1-4003-9d8a-7f1af6583a86 · outbound
This paper cites E3: Energy-efficient Microservices on SmartNIC- accelerated Servers.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers E3: Energy-efficient Microservices on SmartNIC- accelerated Servers
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.163812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b4b12dc2-2edd-4f76-a2a0-08e2baf21b19 · outbound
This paper cites Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.153006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bfdd653b-1b8b-4674-87a5-f2a67a447350 · outbound
This paper cites Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition, 2021.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition, 2021
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.141964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ac563915-2e40-4391-a992-f0a22f0db368 · outbound
This paper cites Boost Your Datacenter! https://mangoboost.io/, 2023.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Boost Your Datacenter! https://mangoboost.io/, 2023
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.130088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0ad7be90-137d-47f9-a095-680cdf808718 · outbound
This paper cites Meta MITA v1.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Meta MITA v1
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.118630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8ef49a8a-aba6-470f-b0ff-1f615ae0ecfc · outbound
This paper cites Gimbal: Enabling Multi- Tenant Storage Disaggregation on SmartNIC JBOFs.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Gimbal: Enabling Multi- Tenant Storage Disaggregation on SmartNIC JBOFs
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.105119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8d9e749c-6d3b-4056-9abe-ebc78ae46cf7 · outbound
This paper cites Analyzing and Mitigating Data Stalls in DNN Training.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Analyzing and Mitigating Data Stalls in DNN Training
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.093021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 29094446-2f0e-4067-8e6e-a5bae921bc45 · outbound
This paper cites AccelTCP: Accelerating Network Applications with Stateful TCP Offloading.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers AccelTCP: Accelerating Network Applications with Stateful TCP Offloading
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.082755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 230cc775-27d7-4dc9-be20-4adc83a21a47 · outbound
This paper cites NVIDIA Triton Inference Server.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers NVIDIA Triton Inference Server
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.072262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ebf9d4b2-a68d-4f4a-9949-9e2082919bc9 · outbound
This paper cites NVIDIA TensorRT: Programmable Inference Accelerator.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers NVIDIA TensorRT: Programmable Inference Accelerator
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.062054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 37694898-1f21-4fa7-a7da-2e310958c5ca · outbound
This paper cites NVIDIA T4.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers NVIDIA T4
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.052078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1a0b0e7b-3a66-4831-9904-08523e79708b · outbound
This paper cites NVIDIA A100.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers NVIDIA A100
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.041979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4ea35def-934d-4174-98f4-c5465aa0f2fb · outbound
This paper cites NVIDIA CUDA Programming Guide, 2021.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers NVIDIA CUDA Programming Guide, 2021
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.031803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 32aa194b-d158-45f1-92c4-3d6d87128106 · outbound
This paper cites Multi-Instance GPU.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Multi-Instance GPU
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.021093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ba7a5b2b-2ed3-4b9b-895a-26814cdba131 · outbound
This paper cites NVIDIA BlueField Data Processing Units.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers NVIDIA BlueField Data Processing Units
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:39.010003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 86b1c471-cdab-43e4-a126-ac9b752cc47c · outbound
This paper cites NVIDIA NeMo.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers NVIDIA NeMo
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.998637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fa6b2e4d-492f-4755-a2fd-e2fca17916df · outbound
This paper cites TensorFlow-Serving: Flexible, High-Performance ML Serving.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers TensorFlow-Serving: Flexible, High-Performance ML Serving
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:34:38.455548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d3b4759-087a-46ae-9115-77de0426859f · outbound
This paper cites LibriSpeech ASR corpus.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers LibriSpeech ASR corpus
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.986121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6d081e51-fdf0-403a-a9f3-1641b6aeed44 · outbound
This paper cites Parashar, M.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Parashar, M
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.973480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 50003c18-731b-4de5-9459-d40cb480b3a9 · outbound
This paper cites TrainBox: An Extreme-Scale Neural Network Training Server Architecture by Sys- tematically Balancing Operations.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers TrainBox: An Extreme-Scale Neural Network Training Server Architecture by Sys- tematically Balancing Operations
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.960473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 88c4e2be-6983-41d9-a772-a8745c792b6f · outbound
This paper cites Single-Root Input/Output Virtualization.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Single-Root Input/Output Virtualization
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.948323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a0d28059-fd07-4130-9587-4f0a99fb847f · outbound
This paper cites Torchaudio Transforms.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Torchaudio Transforms
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.937202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b98e3363-1adf-4287-bc8d-fddb5cf5900c · outbound
This paper cites Transforming and Augmenting Images.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Transforming and Augmenting Images
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.926170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1aa15da8-656c-4ba4-a670-acf6c222edc5 · outbound
This paper cites PyTorch Hub.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers PyTorch Hub
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.914300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fac3e955-133f-4561-8b55-a997476d8ac5 · outbound
This paper cites Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.903823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 307c311e-298d-49b3-b08c-e858e69cec4a · outbound
This paper cites An Analysis of Collocation on GPUs for Deep Learning Training.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers An Analysis of Collocation on GPUs for Deep Learning Training
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T10:34:38.631590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 51d51f1a-b225-4511-8290-5b529f91c2e0 · outbound
This paper cites Samsung Develops Industry’s First GDDR7 DRAM To Un- lock the Next Generation of Graphics Performance.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Samsung Develops Industry’s First GDDR7 DRAM To Un- lock the Next Generation of Graphics Performance
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.893368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f94ae1fa-158f-454b-89f0-147983990e66 · outbound
This paper cites Tell, Yanqing Zhang, William J.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Tell, Yanqing Zhang, William J
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.880489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 72a17066-2bb1-434e-90ea-b2b6941735a9 · outbound
This paper cites Laconic Deep Learning Inference Acceleration.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Laconic Deep Learning Inference Acceleration
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.869518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8a812d19-29e9-4d44-8b0a-07dfb5aab145 · outbound
This paper cites Bit Fu- sion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Bit Fu- sion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.857136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cc97a1a7-0cf6-43d6-b238-24d2dfcf411c · outbound
This paper cites FlexTOE: Flexible TCP Offload with Fine-Grained Parallelism.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers FlexTOE: Flexible TCP Offload with Fine-Grained Parallelism
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.845985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3bf04da7-a059-4668-83d4-e3b9dc783821 · outbound
This paper cites Microsoft Maia v1.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Microsoft Maia v1
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.834515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8e2b71e1-ff23-4c46-a190-abf344b7dd05 · outbound
This paper cites https://store.supermicro.com/us_en/mainstream-amd- 2u-as-2024s-tr.html , 2024.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers https://store.supermicro.com/us_en/mainstream-amd- 2u-as-2024s-tr.html , 2024
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.822832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4258ab49-cc20-4166-b261-9185d28a3387 · outbound
This paper cites Lynx: A SmartNIC- Driven Accelerator-Centric Architecture for Network Servers.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Lynx: A SmartNIC- Driven Accelerator-Centric Architecture for Network Servers
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.812152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 92292c9b-1935-4906-a1a8-17ec111a052c · outbound
This paper cites FastFlow: Accelerating Deep Learn- ing Model Training with Smart Offloading of Input Data Pipeline.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers FastFlow: Accelerating Deep Learn- ing Model Training with Smart Offloading of Input Data Pipeline
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.801010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6452af10-447a-42f2-8132-05dff8e11a02 · outbound
This paper cites Real-time Meets Approximate Computing: An Elastic CNN Inference Accelerator with Adaptive Trade-off Between QoS and QoR.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Real-time Meets Approximate Computing: An Elastic CNN Inference Accelerator with Adaptive Trade-off Between QoS and QoR
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.789779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 616a5dd7-cffc-42c8-898f-10819e1288ec · outbound
This paper cites A None- Sparse Inference Accelerator that Distills and Reuses the Computation Redundancy in CNNs.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers A None- Sparse Inference Accelerator that Distills and Reuses the Computation Redundancy in CNNs
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.778962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4aba7ce0-7905-4094-bb76-180883163ca9 · outbound
This paper cites FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.768076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7be053fa-4b55-48a0-a761-e4abf03e2e85 · outbound
This paper cites Xilinx OpenCL Extension.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Xilinx OpenCL Extension
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.756232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 343db716-947b-429c-a570-db8f2b3895ef · outbound
This paper cites Vitis High-level Synthesis User Guide.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Vitis High-level Synthesis User Guide
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.744636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b52a22d2-5abb-4f34-9cde-e356361ec547 · outbound
This paper cites https://www.xilinx.com/products/boards-and-kits/alveo/u55c.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers https://www.xilinx.com/products/boards-and-kits/alveo/u55c
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.730853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7bc2c7ec-8ae4-43e7-a186-b3e5de010601 · outbound
This paper cites Sinclair, Bradford M.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Sinclair, Bradford M
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.717003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 59896571-7772-473c-aada-a84e5b34bf33 · outbound
This paper cites Orca: A Distributed Serving System for Transformer-Based Generative Models.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Orca: A Distributed Serving System for Transformer-Based Generative Models
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.703916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a0149199-d212-4d45-b3ae-9edf222e5098 · outbound
This paper cites MArk: Ex- ploiting Cloud Services for Cost-Effective,SLO-Aware Machine Learn- ing Inference Serving.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers MArk: Ex- ploiting Cloud Services for Cost-Effective,SLO-Aware Machine Learn- ing Inference Serving
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.691935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7c445e07-0e05-4986-a570-9095071f01e6 · outbound
This paper cites Understand- ing Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training: Industrial Product.
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Understand- ing Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training: Industrial Product
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:34:38.679897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.