PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference | Paper Citation Record

Observation 07bac523-f739-4068-87a5-c1bcda05eaac · outbound

This paper cites URL: https://azure.microsoft.com/en-us/ pricing/calculator/.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference URL: https://azure.microsoft.com/en-us/ pricing/calculator/

Reference 1

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Observation f50db636-43f6-481c-b096-45b2a2d8b8c8 · outbound

This paper cites Enabling cxl memory expansion for in-memory database management systems.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Enabling cxl memory expansion for in-memory database management systems

Reference 2

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Observation 5089bf48-f3a9-4e3d-91cb-1453f5c22089 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 3

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This paper cites Introducing the next generation of claude.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Introducing the next generation of claude

Reference 4

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Observation ea5c3df5-c2e5-413d-ab17-fb19b56d3d23 · outbound

This paper cites Exploiting CXL-based memory for distributed deep learn- ing.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Exploiting CXL-based memory for distributed deep learn- ing

Reference 5

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Observation 5a0cd7bb-5661-46a5-b1b2-fb361d8d7820 · outbound

This paper cites Llama 2 70b: An mlperf inference benchmark for large language models.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Llama 2 70b: An mlperf inference benchmark for large language models

Reference 6

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Observation a3965f40-faf1-48a8-8170-6704fd7edf22 · outbound

This paper cites Improving image generation with better captions.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Improving image generation with better captions

Reference 7

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This paper cites 144-lane, 72-port, pci express gen 5.0 pex89144 express- fabric platform.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference 144-lane, 72-port, pci express gen 5.0 pex89144 express- fabric platform

Reference 8

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Observation 7d94f444-8173-4e1f-9ad4-c70dc261920b · outbound

This paper cites The berkeley out-of-order machine (boom): An open-source industry- competitive, synthesizable, parameterized risc-v processor.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference The berkeley out-of-order machine (boom): An open-source industry- competitive, synthesizable, parameterized risc-v processor

Reference 9

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Observation 5bbabc2f-30e6-4979-aaf5-7321ed902eef · outbound

This paper cites Patterson, and Krste Asanović.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Patterson, and Krste Asanović

Reference 10

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Observation bbaeb890-7147-48e2-9b19-32d4dddaccfe · outbound

This paper cites Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks

Reference 11

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Observation 5a3e52fd-7d4b-4141-b10d-809ffeee38ff · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 12

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Observation 2469b9de-ad81-44cc-9436-8113f685dad5 · outbound

This paper cites The true processing in memory accelerator.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference The true processing in memory accelerator

Reference 13

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Observation 004a9ef1-3dcb-4734-b9bd-d136be30c219 · outbound

This paper cites To pim or not for emerging general purpose processing in ddr memory systems.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference To pim or not for emerging general purpose processing in ddr memory systems

Reference 14

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Observation 338a6725-26d1-48f7-b93b-c2cf52df2949 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 16

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Observation cd1e20ff-666e-4342-a52f-208a3b487efe · outbound

This paper cites Dram spot price.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Dram spot price

Reference 17

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Observation 49a53810-bc51-4a1c-9f6b-e73e391f1e6e · outbound

This paper cites The Llama 3 Herd of Models.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference The Llama 3 Herd of Models

Reference 18

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Observation 67955ca7-fbde-4b9f-8eb0-223e80525b45 · outbound

This paper cites The inference cost of search disruption – large language model cost analysis.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference The inference cost of search disruption – large language model cost analysis

Reference 19

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Observation 12ba10d4-ae69-4261-a872-0cc372b2d438 · outbound

This paper cites Nvidia tesla a100 80gb gpu sxm4 deep learning com- puting graphics card oem.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Nvidia tesla a100 80gb gpu sxm4 deep learning com- puting graphics card oem

Reference 20

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Observation c3f77fda-f121-4c79-a0de-2993503f6b9d · outbound

This paper cites Pci interface ic.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Pci interface ic

Reference 21

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Observation 2f0894fd-ced2-40d0-91ef-bbda10643519 · outbound

This paper cites Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Reference 22

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Observation fde56906-0e9f-4ce9-a19b-78ad37b29a88 · outbound

This paper cites Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design

Reference 23

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This paper cites NDA: Near-DRAM acceleration architecture lever- aging commodity DRAM devices and standard memory modules.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference NDA: Near-DRAM acceleration architecture lever- aging commodity DRAM devices and standard memory modules

Reference 24

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Observation 5c1f2059-3400-449b-b31b-ff9222b4fa4d · outbound

This paper cites Reinhardt, Adrian M.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Reinhardt, Adrian M

Reference 25

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This paper cites Sparsep: Towards ef- ficient sparse matrix vector multiplication on real processing-in- memory architectures.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Sparsep: Towards ef- ficient sparse matrix vector multiplication on real processing-in- memory architectures

Reference 26

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This paper cites Benchmarking a new paradigm: Experimental analysis and characterization of a real processing-in- memory system.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Benchmarking a new paradigm: Experimental analysis and characterization of a real processing-in- memory system

Reference 27

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Observation 931f5695-aaf7-4f1c-9352-0a50f9f63405 · outbound

This paper cites Evaluating machine learningworkloads on memory-centric comput- ing systems.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Evaluating machine learningworkloads on memory-centric comput- ing systems

Reference 28

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Observation c6cc619e-5bb2-46e2-a359-a533ca66c343 · outbound

This paper cites Our next-generation model: Gemini 1.5.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Our next-generation model: Gemini 1.5

Reference 29

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Observation 834a3a4f-a801-4228-9c53-1d452bad5f9f · outbound

This paper cites Memory pooling with cxl.IEEE Micro, 43(2):48– 57, 2023.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Memory pooling with cxl.IEEE Micro, 43(2):48– 57, 2023

Reference 30

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Observation 49574b5b-b973-451a-8eed-66df7d31407a · outbound

This paper cites Direct access, High-Performance memory disaggregation with DirectCXL.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Direct access, High-Performance memory disaggregation with DirectCXL

Reference 31

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Observation f5295c49-69b5-4e67-8994-0e33a8f01a05 · outbound

This paper cites OliVe: Acceler- ating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference OliVe: Acceler- ating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization

Reference 32

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Observation 61eaf1de-bd24-4108-903c-c4c1a42c4044 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 33

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This paper cites ELSA: Hardware-software co-design for efficient, lightweight self-attention mechanism in neural networks.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference ELSA: Hardware-software co-design for efficient, lightweight self-attention mechanism in neural networks

Reference 34

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Observation 5e296e87-2f2c-4d9a-b59c-ac1b3e695651 · outbound

This paper cites Deep residual learning for image recognition.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Deep residual learning for image recognition

Reference 35

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Observation 55134ec4-639a-426d-8520-975c003e047c · outbound

This paper cites Gaussian Error Linear Units (GELUs).

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Gaussian Error Linear Units (GELUs)

Reference 36

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Observation cb395ee5-4e1b-416a-ae1e-4824d597c81c · outbound

This paper cites Neupims: Npu-pim heterogeneous acceleration for batched llm inferencing.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Neupims: Npu-pim heterogeneous acceleration for batched llm inferencing

Reference 37

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Observation 63c96630-b1d1-448b-b1fc-ed12aa84ec4d · outbound

This paper cites Le, Yonghui Wu, and Zhifeng Chen.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Le, Yonghui Wu, and Zhifeng Chen

Reference 38

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Observation 6ffc5613-87bf-401f-8af7-621eb91e81f2 · outbound

This paper cites BEACON: Scalable Near-Data-Processing Accelerators for Genome Analysis near Memory Pool with the CXL Support.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference BEACON: Scalable Near-Data-Processing Accelerators for Genome Analysis near Memory Pool with the CXL Support

Reference 39

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Observation ba3a06f7-092e-4df1-a37c-510a3da0fa64 · outbound

This paper cites Floatpim: In-memory acceleration of deep neural network training with high precision.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Floatpim: In-memory acceleration of deep neural network training with high precision

Reference 40

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Observation 9ba074ee-9d04-4044-a038-a29e28cb3de0 · outbound

This paper cites Ultra-efficient processing in-memory for data intensive applications.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Ultra-efficient processing in-memory for data intensive applications

Reference 41

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Observation fed0dce8-a0f9-46db-bfbe-c59958960241 · outbound

This paper cites Intel xeon gold 6430 processor, 60m cache, 2.10 ghz.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Intel xeon gold 6430 processor, 60m cache, 2.10 ghz

Reference 42

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Observation bfa1399a-05e0-4d73-a5a6-e7ba13adfdf0 · outbound

This paper cites Intel ® xeon® gold 6430 processor.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Intel ® xeon® gold 6430 processor

Reference 43

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Observation 3d974faa-ce32-4c60-9c7f-19365e6705cd · outbound

This paper cites CXL-ANNS: Software- Hardware Collaborative Memory Disaggregation and Computation for Billion-Scale Approximate Nearest Neighbor Search.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference CXL-ANNS: Software- Hardware Collaborative Memory Disaggregation and Computation for Billion-Scale Approximate Nearest Neighbor Search

Reference 44

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Observation bf1c202c-5700-43bd-b906-d8d3953b23e6 · outbound

This paper cites Tpu v4: An optically reconfigurable supercomputer for machine learning with hardware support for embeddings.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Tpu v4: An optically reconfigurable supercomputer for machine learning with hardware support for embeddings

Reference 45

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Observation f3183397-8d8e-4962-b7fd-85ba7ed408bb · outbound

This paper cites Noise-resilient DNN: Tolerating noise in PCM- based AI accelerators via noise-aware training.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Noise-resilient DNN: Tolerating noise in PCM- based AI accelerators via noise-aware training

Reference 46

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Observation 551d1872-b606-4835-927f-e7255e0853e1 · outbound

This paper cites ChatGPT for good? On opportunities and challenges of large language models for education.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference ChatGPT for good? On opportunities and challenges of large language models for education

Reference 47

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Observation fc0b1791-a46a-4a6c-bef5-518b86cd102e · outbound

This paper cites Rec- nmp: Accelerating personalized recommendation with near-memory processing.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Rec- nmp: Accelerating personalized recommendation with near-memory processing

Reference 48

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Observation 40984173-3fef-493d-8435-905a989496c9 · outbound

This paper cites Moonwalk: Nre optimization in asic clouds.ACM SIGARCH Computer Architecture News, 45(1):511–526, 2017.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Moonwalk: Nre optimization in asic clouds.ACM SIGARCH Computer Architecture News, 45(1):511–526, 2017

Reference 49

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Observation 21964e30-ba5f-42c4-93fe-95844210fa51 · outbound

This paper cites Aquabolt-XL HBM2-PIM, LPDDR5-PIM with in-memory processing, and AXDIMM with accel- eration buffer.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Aquabolt-XL HBM2-PIM, LPDDR5-PIM with in-memory processing, and AXDIMM with accel- eration buffer

Reference 50

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Observation 815bf70f-471f-4ee4-9d71-5072dcb57c42 · outbound

This paper cites Samsung PIM/PNM for Transfmer Based AI: Energy Efficiency on PIM/PNM Cluster.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Samsung PIM/PNM for Transfmer Based AI: Energy Efficiency on PIM/PNM Cluster

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.424550Z

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Observation 24dbc041-3b61-4467-884a-3dfc5ade2e11 · outbound

This paper cites A 1ynm 1.25v 8gb 16gb/s/pin gddr6-based accelerator-in-memory supporting 1tflops mac operation and various activation functions for deep learning application.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference A 1ynm 1.25v 8gb 16gb/s/pin gddr6-based accelerator-in-memory supporting 1tflops mac operation and various activation functions for deep learning application

Reference 52

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Observation b6cef06e-7a03-471a-b491-2f78bf7b2609 · outbound

This paper cites Maeri: Enabling flexible dataflow mapping over dnn accelerators via recon- figurable interconnects.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Maeri: Enabling flexible dataflow mapping over dnn accelerators via recon- figurable interconnects

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.411377Z

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Observation 6588b9e2-114f-418f-a03a-f1a17dc44c75 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Efficient memory management for large language model serving with pagedattention

Reference 54

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Observation 0be80827-8f78-46d0-aab6-14544a8d6650 · outbound

This paper cites Memory-centric computing with sk hynix’s domain-specific memory.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Memory-centric computing with sk hynix’s domain-specific memory

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:43.072246Z

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Observation c7b25c34-da8e-45b6-a33f-722a70341f7f · outbound

This paper cites System architecture and software stack for GDDR6-AiM.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference System architecture and software stack for GDDR6-AiM

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.391031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b24437a-9736-4834-b18c-7bb0c0f435ba · outbound

This paper cites 25.4 a 20nm 6gb function-in-memory DRAM, based on HBM2 with a 1.2 tflops pro- grammable computing unit using bank-level parallelism, for machine learning applications.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference 25.4 a 20nm 6gb function-in-memory DRAM, based on HBM2 with a 1.2 tflops pro- grammable computing unit using bank-level parallelism, for machine learning applications

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.380426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 66bdc8f1-1e91-4704-bee7-d804f371433f · outbound

This paper cites Improving in-memory database operations with acceleration DIMM (AxDIMM).

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Improving in-memory database operations with acceleration DIMM (AxDIMM)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.369207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc0b94e1-27db-470f-a9be-167adc88e9e6 · outbound

This paper cites Using machine learning to increase yield and lower packaging costs.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Using machine learning to increase yield and lower packaging costs

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.357587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5d1065ab-8c94-415c-9c2c-93facde77733 · outbound

This paper cites A 1ynm 1.25 v 8gb, 16gb/s/pin gddr6-based accelerator-in-memory supporting 1tflops mac operation and various activation functions for deep-learning applications.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference A 1ynm 1.25 v 8gb, 16gb/s/pin gddr6-based accelerator-in-memory supporting 1tflops mac operation and various activation functions for deep-learning applications

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.347503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 06c69c93-84af-4188-b7d6-b4ebf002e139 · outbound

This paper cites Berger, Lisa Hsu, Daniel Ernst, Pantea Zardoshti, Stanko Novakovic, Monish Shah, Samir Ra- jadnya, Scott Lee, Ishwar Agarwal, Mark D.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Berger, Lisa Hsu, Daniel Ernst, Pantea Zardoshti, Stanko Novakovic, Monish Shah, Samir Ra- jadnya, Scott Lee, Ishwar Agarwal, Mark D

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.336520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4cdfb794-01a7-46ab-a526-cb5ae6f9a145 · outbound

This paper cites Accelerating distributed reinforcement learning with in-switch computing.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Accelerating distributed reinforcement learning with in-switch computing

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.326047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ed1efdb-7d91-4d21-8099-e68bb427a939 · outbound

This paper cites Specification.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Specification

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.315839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f709682-02b2-49d6-829d-af86e7374b5a · outbound

This paper cites DeepSeek-V3 Technical Report.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference DeepSeek-V3 Technical Report

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:43.109950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 510e802c-84e8-47b2-af67-c7f69a80ffe1 · outbound

This paper cites Enmc: Extreme near-memory classification via approximate screening.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Enmc: Extreme near-memory classification via approximate screening

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.305602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ccfcc69-ef8b-44b3-a38d-05032c7029c6 · outbound

This paper cites Sanger: A co-design framework for enabling sparse attention using reconfigurable architecture.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Sanger: A co-design framework for enabling sparse attention using reconfigurable architecture

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.294964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ae30fee-06ff-434c-8ca7-5fb36673ebfc · outbound

This paper cites Ramulator 2.0: A Modern, Modular, and Extensible DRAM Simulator.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Ramulator 2.0: A Modern, Modular, and Extensible DRAM Simulator

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:43.122136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bac7644a-2243-4259-a206-b048edc8780a · outbound

This paper cites A Binary-activation, Multi-level Weight RNN and Training Algorithm for ADC-/DAC- free and Noise-resilient Processing-in-memory Inference with eNVM.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference A Binary-activation, Multi-level Weight RNN and Training Algorithm for ADC-/DAC- free and Noise-resilient Processing-in-memory Inference with eNVM

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.283985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91daf12f-993f-4c47-a980-e9d882c50483 · outbound

This paper cites Dram power calculator.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Dram power calculator

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.273545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b421ff6f-4c59-477b-b23b-21d96fadea73 · outbound

This paper cites Nvidia shipped 3.76m data center gpus in 2023.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Nvidia shipped 3.76m data center gpus in 2023

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.263356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ab8cb036-44dc-4216-915c-da2638c00132 · outbound

This paper cites Supply chain aware computer architecture.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Supply chain aware computer architecture

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.253293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d85537c-4844-4d37-9329-0f38af56f576 · outbound

This paper cites 184QPS/W 64Mb/mm 2 3D logic-to-DRAM hybrid bonding with process-near-memory engine for recommendation system.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference 184QPS/W 64Mb/mm 2 3D logic-to-DRAM hybrid bonding with process-near-memory engine for recommendation system

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.243312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff55d8ee-85ff-4168-86b3-cdfc2e145b2e · outbound

This paper cites Introduction to the nvidia dgx a100 system.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Introduction to the nvidia dgx a100 system

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.232936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87ffbc70-e3a9-4f62-a1c7-08606df975ee · outbound

This paper cites Nvidia a100 tensor core gpu.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Nvidia a100 tensor core gpu

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.222631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b9db1fba-f9ff-41f1-839c-6a6dfc0ed566 · outbound

This paper cites Nvidia hgx a100, the most powerful end-to-end ai supercom- puting platform.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Nvidia hgx a100, the most powerful end-to-end ai supercom- puting platform

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.212585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f6571af-9e27-4194-9641-a9036d6ecbba · outbound

This paper cites Nvlink and nvlink switch.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Nvlink and nvlink switch

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.202214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3cb0cb57-9174-4a9d-8d7c-0057f438580d · outbound

This paper cites an unresolved cited work.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:19:44.191897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 48f7f33b-48ef-4d04-9e6f-567b0376ba51 · outbound

This paper cites Fine- grained dram: Energy-efficient dram for extreme bandwidth systems.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Fine- grained dram: Energy-efficient dram for extreme bandwidth systems

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.181932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 001a95ce-8a7c-4781-a9a6-d1e1842e31df · outbound

This paper cites Bureau of Labor Statistics.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Bureau of Labor Statistics

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.171164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93dc2701-7455-4c73-a6e6-33f54ddaa771 · outbound

This paper cites Accelerating neural network inference with processing-in-dram: From the edge to the cloud.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Accelerating neural network inference with processing-in-dram: From the edge to the cloud

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.161590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53c05752-51aa-45d7-a70a-58eac2fb0983 · outbound

This paper cites Gpt-4 turbo and gpt-4.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Gpt-4 turbo and gpt-4

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.151325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89e01c35-16d1-4ced-bc9e-a20aeb8f2d32 · outbound

This paper cites Learning to reason with llms.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Learning to reason with llms

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.140848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72d9eac6-99da-4454-9711-51cc0a1679c7 · outbound

This paper cites Video generation models as world simulators.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Video generation models as world simulators

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.130360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05f5e22d-b5ed-44e4-91e8-f04aa921dd0d · outbound

This paper cites GPT-4 Technical Report.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference GPT-4 Technical Report

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:43.183524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83c9968-c212-40fa-9f43-80d845986aac · outbound

This paper cites Cost and yield analysis of multi-die packaging using 2.5 d technology compared to fan-out wafer level packaging.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Cost and yield analysis of multi-die packaging using 2.5 d technology compared to fan-out wafer level packaging

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.116094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d76f3a5-652f-412f-a3fa-fa8c10785fb6 · outbound

This paper cites Attacc! unleashing the power of pim for batched transformer-based generative model inference.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Attacc! unleashing the power of pim for batched transformer-based generative model inference

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.104257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49de6f65-d730-407d-8c97-2d2b9afe42ae · outbound

This paper cites Trim: Enhancing processor-memory interfaces with scalable tensor reduction in memory.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Trim: Enhancing processor-memory interfaces with scalable tensor reduction in memory

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.092592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a1d117e2-4a53-43a7-8f1d-f5aca6135e4e · outbound

This paper cites An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.081069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c2b6d119-1ac8-4b0c-8f60-3eb64c6beb38 · outbound

This paper cites an unresolved cited work.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Unresolved cited work

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:43.193719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2912e3-6b3b-4e5b-ba80-6981b4c294a7 · outbound

This paper cites Splitwise: Efficient gen- erative llm inference using phase splitting.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Splitwise: Efficient gen- erative llm inference using phase splitting

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.059017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b30cd212-45ff-4832-aeff-ec2c75b2361f · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Movie Gen: A Cast of Media Foundation Models

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:43.212984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0aafde-3aa6-426a-ac18-5890ceeaef73 · outbound

This paper cites Nvidia ada lovelace leaked specifications, die sizes, architecture, cost, and performance analysis.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Nvidia ada lovelace leaked specifications, die sizes, architecture, cost, and performance analysis

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.070811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50869f67-984a-48bc-a6f2-53098521ce11 · outbound

This paper cites FACT: FFN- Attention Co-optimized Transformer Architecture with Eager Cor- relation Prediction.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference FACT: FFN- Attention Co-optimized Transformer Architecture with Eager Cor- relation Prediction

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.046764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7770edb4-b003-40ce-8c5b-e8e21091736f · outbound

This paper cites Dota: detect and omit weak attentions for scalable transformer acceleration.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Dota: detect and omit weak attentions for scalable transformer acceleration

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.036444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 31adadca-0d46-4a13-9f5d-f7a7364b8f78 · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:43.216975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ad555e-ed1a-4fa2-9fc5-6b722b428f21 · outbound

This paper cites Impala: Algorithm/architecture co-design for in- memory multi-stride pattern matching.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Impala: Algorithm/architecture co-design for in- memory multi-stride pattern matching

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.025911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52e7404c-5666-46c4-bf2d-99a4b3108973 · outbound

This paper cites 8gb gddr6 sgram c-die.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference 8gb gddr6 sgram c-die

Reference 97

Resolution: verified exact; raw_fallback, observed 2026-08-08T12:19:43.535628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 347e29e6-146d-4f10-8c3c-f9e18db03e1d · outbound

This paper cites Searching for Activation Functions.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Searching for Activation Functions

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:43.229683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36b826bd-1753-4dde-8de6-b8fb57a89e45 · outbound

This paper cites GLU Variants Improve Transformer.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference GLU Variants Improve Transformer

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:43.243256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1106256b-df8e-4e41-a921-c63c4186a17a · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:43.247215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7992e68b-9baf-43c4-87c3-91a2b39d4c87 · outbound

This paper cites Generative ai winds in memory semiconduc- tors, total demand for server drams is declining.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference Generative ai winds in memory semiconduc- tors, total demand for server drams is declining

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:44.015080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers