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Paper Citation Record · LEDGER

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics

As of 13 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2411.14554.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.14554 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:13:50.059639Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact16
  • verified fuzzy29
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8651118-67a8-4bd8-953f-44940accd075 · outbound

This paper cites Introducing the Graph 500,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Introducing the Graph 500,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.612272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.724620Z digest=sha256:4aae896f7c01d16b9781dda3a1d639cbed777f4e883ce3ab9820fe10b72a3096

Observation 4d381d18-809b-41e1-b793-f126d2a89f59 · outbound

This paper cites ExtraV: boosting graph processing near storage with a coherent accelerator,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics ExtraV: boosting graph processing near storage with a coherent accelerator,

Reference 2

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metadata mismatch
raw_fallback, observed 2026-08-12T15:13:52.012593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.730249Z digest=sha256:34fc5700641250d57834e68918bad963defdbaf657ed83410a0b71afd2dcbc5f

Observation 1f402c58-5782-4b30-b06d-4a64a41aaa4f · outbound

This paper cites Graph 500 | large-scale benchmarks,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Graph 500 | large-scale benchmarks,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.596103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.735455Z digest=sha256:c8b24be06a48ed4a277218898990a9fc42de441769128c2eedaf39924eabdb63

Observation 6d2071b4-77f9-4697-a3a7-4e7597ae4a2b · outbound

This paper cites Distributed GraphLab: a framework for machine learning and data mining in the cloud,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Distributed GraphLab: a framework for machine learning and data mining in the cloud,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.745481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.745481Z digest=sha256:60e563c2efebfe733dc45d7cd2e51ab3f140bafbfc89b0a957e1f5bd09a23f62

Observation e47858c2-1247-4668-915c-783146e1cf99 · outbound

This paper cites Graph Neural Networks: A Review of Methods and Applications.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Graph Neural Networks: A Review of Methods and Applications

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.751345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.751345Z digest=sha256:6fc6db20fb06f2f670f48f751fb11f6c8c1626f31a1cd644113b13870eb5f48e

Observation 9770fa90-913e-4e1d-b745-9738d2f841df · outbound

This paper cites Thinking Like a Vertex: a Survey of Vertex-Centric Frameworks for Distributed Graph Processing.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Thinking Like a Vertex: a Survey of Vertex-Centric Frameworks for Distributed Graph Processing

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:13:51.779049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.757642Z digest=sha256:fd8d6a6ecde6226b81d92a0546ca07696946f6da0c404d93b89e4c8be53ee09e

Observation dd68cfeb-b14c-4348-bfaf-2688dff5772d · outbound

This paper cites Pregel: a system for large-scale graph processing,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Pregel: a system for large-scale graph processing,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.764360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.764360Z digest=sha256:b9adfda3704d66c6c6bf4a5bc627c9fad73aa97c4a45dc9258fd6a7dbbd92f6b

Observation 70266867-41e7-4d1d-b5da-21b4af5ecd50 · outbound

This paper cites Towards dataflow-based graph accelerator,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Towards dataflow-based graph accelerator,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.582110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.768908Z digest=sha256:b46eee16676ccde1c1c831395bcfe693bfb211bab175cf251be3142d84defee9

Observation fe91b819-a191-45b1-a350-2bf47a009def · outbound

This paper cites GraphLab: a new framework for parallel machine learning,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics GraphLab: a new framework for parallel machine learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.551331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.773949Z digest=sha256:dfd53361860f6128c6ad5ac6eaa593006e693a5aa66ab61533cff017496dd2ad

Observation 1c9c05dc-59b9-4880-ad7f-cb632ec87672 · outbound

This paper cites Distributed graphlab: A framework for machine learning and data mining in the cloud,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Distributed graphlab: A framework for machine learning and data mining in the cloud,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.531103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.779330Z digest=sha256:5355bc32a3881fb7b112280fc20f4f9b96d6b6259f87bd104ad63a539de608b3

Observation a889e345-840d-419d-aca4-afdb0c67d1b7 · outbound

This paper cites Accelerating PageRank using Partition-Centric Processing.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Accelerating PageRank using Partition-Centric Processing

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:13:51.659502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.784295Z digest=sha256:77955da9b13c2862cfa7558eb9c08026615fead12a276808e8374507386daae6

Observation 4313af84-095c-4359-88b5-321043f19f0f · outbound

This paper cites Everything you always wanted to know about multicore graph processing but were afraid to ask,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Everything you always wanted to know about multicore graph processing but were afraid to ask,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.503128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.790165Z digest=sha256:86f54654f9f9239e7aa318e6aface7ea171e7cfe7c55c223937f1237c573a327

Observation bceca541-c2b3-49dc-896a-971c654676b0 · outbound

This paper cites The GAP Benchmark Suite.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics The GAP Benchmark Suite

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.795943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.795943Z digest=sha256:bc930c10ad44d5e3eeb372ecaa5b4c7c27fe1f17710519c65d965f8ac7d92e7b

Observation 4d0592a0-cb47-45fa-aae3-4176cb99dc23 · outbound

This paper cites Ligra: a lightweight graph processing framework for shared memory,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Ligra: a lightweight graph processing framework for shared memory,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.803291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.803291Z digest=sha256:13ca15008693198f8e752d4f45ec61d86f3e56de110b9b17edc3746fa0c19e44

Observation f73456c3-a52f-4ec6-a18e-3902c8795cd1 · outbound

This paper cites GridGraph: Large-Scale Graph Processing on a Single Machine Using 2-Level Hierarchical Partitioning,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics GridGraph: Large-Scale Graph Processing on a Single Machine Using 2-Level Hierarchical Partitioning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.484933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.809664Z digest=sha256:3bfaf434ec9e0c9b74fa42840f287472c0051014083c00883ea0fa774da3838e

Observation fcf82875-90ad-436e-be3e-38494bdacc47 · outbound

This paper cites Gunrock: a high-performance graph processing library on the GPU,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Gunrock: a high-performance graph processing library on the GPU,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.815450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.815450Z digest=sha256:1ffef3ec3862b98201f22be21573287e1216ef7799720868946aa319d367610a

Observation c57fdf93-c04c-416f-89e4-d28732618d6e · outbound

This paper cites GPU-Accelerated Text Mining,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics GPU-Accelerated Text Mining,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.467851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.822490Z digest=sha256:9cad70af47b531fb752291fa11a7fa6aba02051d677a7793a02b761cd51a4dba

Observation d78ed17c-2798-4c1d-b325-0898f07ac9bc · outbound

This paper cites CuSha: vertex-centric graph processing on GPUs,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics CuSha: vertex-centric graph processing on GPUs,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.827289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.827289Z digest=sha256:e8829bfdafee890861cb44d33a65ace865c02c6e3b98f824e27ebe1e8a310f3f

Observation 07abd272-b22a-4ad2-8dbc-c3b70249c43a · outbound

This paper cites Graph processing on GPUs: Where are the bottlenecks?.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Graph processing on GPUs: Where are the bottlenecks?

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.452436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.832222Z digest=sha256:7f33dcf3bf083fc858682a867a65adc103597afde42243ec5f1491d223757559

Observation af43cb67-6452-4d68-85a8-69414a8d743c · outbound

This paper cites Locality Exists in Graph Processing: Workload Characterization on an Ivy Bridge Server,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Locality Exists in Graph Processing: Workload Characterization on an Ivy Bridge Server,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.432355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.837727Z digest=sha256:fda073f8e10f845a03bae0c385e64e78a24a9976d3a77f196adc12cf41ef2c53

Observation 6a967043-03f9-42c4-a375-8d3359fe5a6c · outbound

This paper cites Domain-specialized cache manage- ment for graph analytics,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Domain-specialized cache manage- ment for graph analytics,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.409492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.843502Z digest=sha256:aa653a7059dfb3c2f3bf05eb7d940e9a1d949d02e8da4b10457408356cce263b

Observation 8a7a6eab-f34e-4f1e-9c53-d7b9ab069808 · outbound

This paper cites ECG: Expressing Locality and Prefetching for Optimal Caching in Graph Structures.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics ECG: Expressing Locality and Prefetching for Optimal Caching in Graph Structures

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.383662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.848526Z digest=sha256:b017947b726ef1caef4fdbff5ec8c9866991a7e81184d958880257e80b21f831

Observation 4dee6453-9774-4bd4-bb93-d5e459de67ee · outbound

This paper cites P-OPT: Practical Optimal Cache Replacement for Graph Analytics,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics P-OPT: Practical Optimal Cache Replacement for Graph Analytics,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.350476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.860556Z digest=sha256:6e6532beb82f969059daeb84d1d28f18d4fba72dd620827c689be3a66975867c

Observation 1b85fe2b-4ff6-4511-88de-9e5be89a645b · outbound

This paper cites Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.333407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.866574Z digest=sha256:6fd2b9a28b7a61a65a2a12613c27b2d46b2f598189f66fe0f4f9933075d7094e

Observation f5931d4e-8f60-4db0-b9c0-1a94febdc3df · outbound

This paper cites Energy consumption analysis of instruction cache prefetching methods,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Energy consumption analysis of instruction cache prefetching methods,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.305929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.871602Z digest=sha256:9f4ebdcfb792e6542cb3ddfbe2dca2ecb64f4c613b357816e1448c27ad2e25e0

Observation 753c6481-7b13-4a34-84ac-b8b27a836539 · outbound

This paper cites Exploiting HBM on FPGAs for Data Processing,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Exploiting HBM on FPGAs for Data Processing,

Reference 26

Resolution
verified exact
doi, observed 2026-08-12T15:13:50.226707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.876724Z digest=sha256:b33eb4c22206058957ec220b52b76ad01d8d5b49fa36c49b2aaac0695f4edf8d

Observation c51b7899-fd78-4314-91a6-b0ae7a45a62a · outbound

This paper cites Modular and Lean Architecture with Elasticity for Sparse Matrix Vector Multiplication on FPGAs,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Modular and Lean Architecture with Elasticity for Sparse Matrix Vector Multiplication on FPGAs,

Reference 27

Resolution
verified exact
raw_fallback, observed 2026-08-12T15:13:51.348632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.881849Z digest=sha256:237af7210de4a3fe5e1b8eda7385a4bcb142a0f4af4e60eac06e0d4671f28214

Observation 4e9b0b22-9481-4ab6-bb47-83ea52492569 · outbound

This paper cites Observed Memory Bandwidth and Power Usage on FPGA Platforms with OneAPI and Vitis HLS: A Comparison with GPUs,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Observed Memory Bandwidth and Power Usage on FPGA Platforms with OneAPI and Vitis HLS: A Comparison with GPUs,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.886922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.886922Z digest=sha256:633f9875c97278375622747f478a69a75e836f7f276208f6547bb36dac96c4ac

Observation f1c1d153-8a65-4bba-b625-435bf08c84e2 · outbound

This paper cites ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines,

Reference 29

Resolution
verified exact
raw_fallback, observed 2026-08-12T15:13:51.252935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.891690Z digest=sha256:e834291d2d044b00a73696d87a68ed2e309d754cfd01df48a7739151e06b521c

Observation 6bf2b4f8-884a-4846-b8f4-ae032a242492 · outbound

This paper cites ScalaBFS2: A High Performance BFS Accelerator on an HBM-enhanced FPGA Chip,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics ScalaBFS2: A High Performance BFS Accelerator on an HBM-enhanced FPGA Chip,

Reference 30

Resolution
verified exact
doi, observed 2026-08-12T15:13:50.189634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.896763Z digest=sha256:9cdd41da73f784e2c56c95c495220a559298e3d47e7cebc477261dbc55916802

Observation 805ca50c-9e83-427b-93af-0b5648872dbe · outbound

This paper cites QPR: Quantizing PageRank with Coherent Shared Memory Accelerators,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics QPR: Quantizing PageRank with Coherent Shared Memory Accelerators,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.288387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.901609Z digest=sha256:d4ea074914a804178faf0624f11ccea464e99cd1ea11f058ee66a5fc5646786b

Observation 5f35f301-565d-4caf-a4ca-02bfda0b4eee · outbound

This paper cites GraphLily: Accelerating Graph Linear Algebra on HBM-Equipped FPGAs,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics GraphLily: Accelerating Graph Linear Algebra on HBM-Equipped FPGAs,

Reference 32

Resolution
verified exact
raw_fallback, observed 2026-08-12T15:13:51.110716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.907063Z digest=sha256:218b8691930385afe0c9342c160fcea4c1c911e84823400837ab5fab8157856e

Observation b831e659-6fa8-4e2e-b6ed-4a1b774ba89d · outbound

This paper cites Hashmem: Pim- based hashmap accelerator,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Hashmem: Pim- based hashmap accelerator,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.271049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.911117Z digest=sha256:146a92537f058498e274ac94e7d07b3ebe88eb3ce6d9ed5f8be57cdf942ef3b6

Observation 97318282-6886-42a0-b1cf-8d1c9e0a06c5 · outbound

This paper cites ACTS: A Near-Memory FPGA Graph Processing Framework,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics ACTS: A Near-Memory FPGA Graph Processing Framework,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.915596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.915596Z digest=sha256:73688d4ea788403e754a8903b5bbfb7999dbfff13ce7bae7ab90f16716696e70

Observation 35d0906d-a00c-4721-a49f-8386e6a0b8b9 · outbound

This paper cites ThunderGP: HLS-based Graph Processing Framework on FPGAs,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics ThunderGP: HLS-based Graph Processing Framework on FPGAs,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.921786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.921786Z digest=sha256:2b3eabb9a517aa74804d659a251c6b2637e24d61065d52415ca1f75530c7d52d

Observation 853148c1-ed98-4b0d-ad18-dcdf4a857468 · outbound

This paper cites GraVF-M: Graph Processing System Generation for Multi-FPGA Platforms,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics GraVF-M: Graph Processing System Generation for Multi-FPGA Platforms,

Reference 37

Resolution
verified exact
doi, observed 2026-08-12T15:13:50.167674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.934022Z digest=sha256:c03ae0b410bc3dd698f5c1e94f30832ff020a2c3b1fdb7bdb2e4d40c70be6075

Observation 8d52b1ef-2ba7-4dc1-b421-7071232b9879 · outbound

This paper cites GridGAS: An I/O-Efficient Heterogeneous FPGA+CPU Computing Platform for Very Large-Scale Graph Analytics,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics GridGAS: An I/O-Efficient Heterogeneous FPGA+CPU Computing Platform for Very Large-Scale Graph Analytics,

Reference 38

Resolution
verified exact
raw_fallback, observed 2026-08-12T15:13:50.764442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.938775Z digest=sha256:931bd284967d61d6529abebc166a9cdf08611e8a3770a989028ba0929ea05ff3

Observation 9c4c76b4-c0bd-4228-bfd1-bf7a5e4d8e05 · outbound

This paper cites FDGLib: A Communication Library for Efficient Large-Scale Graph Processing in FPGA-Accelerated Data Centers,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics FDGLib: A Communication Library for Efficient Large-Scale Graph Processing in FPGA-Accelerated Data Centers,

Reference 39

Resolution
verified exact
doi, observed 2026-08-12T15:13:50.149741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.944055Z digest=sha256:2acfb94938ff1c55d3293f5742d13ff0253e7444416e98d3e487a520b3807efc

Observation 6893ed91-be61-4d83-9842-e8010b52e9ea · outbound

This paper cites Distributed large-scale graph processing on FPGAs,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Distributed large-scale graph processing on FPGAs,

Reference 40

Resolution
verified exact
doi, observed 2026-08-12T15:13:50.123535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.949443Z digest=sha256:485d63108c108d13618ab37026c3c5b3cdd1d3b908a6320df2312761203e1873

Observation 785c381c-452f-4a62-8ad5-b800744ea13a · outbound

This paper cites LightGraph: Lighten Communication in Distributed Graph-Parallel Processing,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics LightGraph: Lighten Communication in Distributed Graph-Parallel Processing,

Reference 41

Resolution
verified exact
raw_fallback, observed 2026-08-12T15:13:50.668909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.955039Z digest=sha256:20eaa631ebc381df98f3867c073ab006424ef94b9b4a68b6288b4484d8a29c4c

Observation 26144727-291c-45b0-a770-63ff8859e925 · outbound

This paper cites The future of fpga acceleration in datacenters and the cloud,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics The future of fpga acceleration in datacenters and the cloud,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.960841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.960841Z digest=sha256:5e1f3b6c0ab0eb47853939d5bc5a547907a7f17f7d88d369a817ad68101ca2b8

Observation 8fa5683a-8732-40ae-83c2-8d583e376afa · outbound

This paper cites Scale up or scale out for graph processing?.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Scale up or scale out for graph processing?

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.252173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.966188Z digest=sha256:ac5fd8cbd4e69d25e51bf3eff5c3074f13a61d3660f57796ce195a949bf1dcf8

Observation 711fde33-ddd5-4246-9c4a-b3ff7a733652 · outbound

This paper cites TEGRA -- Scaling Up Terascale Graph Processing with Disaggregated Computing.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics TEGRA -- Scaling Up Terascale Graph Processing with Disaggregated Computing

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:13:50.586028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.971477Z digest=sha256:68000d729f24e2b79bd9ee6f0f1a8d845574951f8647f88601c330848d6a5a89

Observation 233a7015-0aa7-4e4e-8af9-283b02caef9c · outbound

This paper cites PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.227646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.980581Z digest=sha256:5988ecfc76435e6e914f550b933d6bbf31b0dbaef40ac77c58038bc9b759665a

Observation d92245ae-9926-4149-a45f-7a3f11863ec8 · outbound

This paper cites GraphX: Graph Processing in a Distributed Dataflow Framework,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics GraphX: Graph Processing in a Distributed Dataflow Framework,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.208431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.987068Z digest=sha256:45f4416d240c143f378ad3ac5e0f3c792b2e5d7b5aee9e4612d7d27dfddc9f6c

Observation 3091b61e-511b-481a-953b-a173ae0cca9f · outbound

This paper cites X-Stream: edge- centric graph processing using streaming partitions,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics X-Stream: edge- centric graph processing using streaming partitions,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:49.994189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:49.994189Z digest=sha256:9a79d5cb12f31f3bbcef9276facb85df6d26b3a73da28c831827de5a85a8ffcd

Observation 8b3191ee-aaf0-4539-a60b-123690c30dd8 · outbound

This paper cites “giraph: Large-scale graph processing infrastructure on hadoop,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics “giraph: Large-scale graph processing infrastructure on hadoop,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.192685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.999243Z digest=sha256:dce80a0afae340fff017098058ca2a3049e203f5f518138e3edc966a8913f450

Observation dad3f2b2-d172-4753-86aa-dc836f9fa404 · outbound

This paper cites GraphMat: High performance graph analytics made productive.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics GraphMat: High performance graph analytics made productive

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:13:50.467061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:50.004647Z digest=sha256:b0dcd289e3fd338ee42d97cd2bd73f273030732e695eefc30abf65e516f8397b

Observation 10311201-edda-4511-9b5c-c342914c0f0e · outbound

This paper cites GraphGen: An FPGA Framework for Vertex- Centric Graph Computation,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics GraphGen: An FPGA Framework for Vertex- Centric Graph Computation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.163083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:50.010774Z digest=sha256:359e06c144effa4e02f37afd84ceb8a7da7b8d5f756d0a0cb472433e543cb112

Observation 2581cb0a-2b08-4295-93d3-b87b8615b9ec · outbound

This paper cites HitGraph: High-throughput Graph Processing Framework on FPGA,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics HitGraph: High-throughput Graph Processing Framework on FPGA,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.137977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:50.015876Z digest=sha256:c4541ba1e8e80bf76bb5c3a05ec8d84a3d783c2a384fb561a16cbae3abaed5e2

Observation c1ce0d3c-bdc7-45a0-a3da-008de4f6c015 · outbound

This paper cites Graphicionado: A high-performance and energy-efficient accelerator for graph analytics,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Graphicionado: A high-performance and energy-efficient accelerator for graph analytics,

Reference 52

Resolution
verified exact
raw_fallback, observed 2026-08-12T15:13:50.436799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:50.020583Z digest=sha256:a2dbe44f19fddcd2c8b8ab3f3e1aee08a88ee9d96e9c6d2547a2b31b4d42b860

Observation af114d42-201e-4bca-aaff-a7dab1563301 · outbound

This paper cites High-Throughput and Energy-Efficient Graph Processing on FPGA,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics High-Throughput and Energy-Efficient Graph Processing on FPGA,

Reference 53

Resolution
verified exact
raw_fallback, observed 2026-08-12T15:13:50.340852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:50.024842Z digest=sha256:10ab280bf46bafbf8afe33c80c1e090f8e4a963f5a562f71ee7f7958a0efe2f2

Observation 74823622-256d-4cda-83b4-ae53b2b0092b · outbound

This paper cites Vitis Unified Software Development Platform 2023.1 Documentation • Vitis Tutorials: AI Engine (XD100) • Reader • AMD Technical Information Portal.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Vitis Unified Software Development Platform 2023.1 Documentation • Vitis Tutorials: AI Engine (XD100) • Reader • AMD Technical Information Portal

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.107784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:50.029239Z digest=sha256:053c9d3809f123b99d5823ed132887e7690e9208e8c0369b70d3fe349155a5ca

Observation 2962c98a-4564-47d5-a901-183c87a5b100 · outbound

This paper cites Foregraph: Exploring large-scale graph processing on multi-fpga architecture,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Foregraph: Exploring large-scale graph processing on multi-fpga architecture,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T15:13:50.036129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:13:50.036129Z digest=sha256:cc8a7a9417167eaf89e8c3603c37d196af4401ee6b9b1605b177299a56ce600a

Observation ff858b95-66fc-4648-86f3-df9cbb9c5364 · outbound

This paper cites Fdglib: A communication library for efficient large-scale graph processing in fpga-accelerated data centers,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Fdglib: A communication library for efficient large-scale graph processing in fpga-accelerated data centers,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.090236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:50.043506Z digest=sha256:c93b8ca65599ecba59e1426dd70b9523f69328d606ee82cf4ac9ed85777cb85b

Observation fec9be80-4838-4434-ac3a-6811987373b8 · outbound

This paper cites NVIDIA System Management Interface.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics NVIDIA System Management Interface

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.074671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:50.048559Z digest=sha256:f6e355df9e10ab90dbc8a9220c2d6238190772343f8656279e86d8a9a5132d5f

Observation 905cafe2-79dd-452e-bfc5-420f287e674f · outbound

This paper cites RMAT generator library,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics RMAT generator library,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.055052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:50.053142Z digest=sha256:3eb8f34572dc4b12880167ccc786799b5a55cb8550e926f6a3ab071ca5a05ff5

Observation 888f2023-8dbc-432f-90d3-d20ae1e5d1e1 · outbound

This paper cites The university of florida sparse matrix collection,.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics The university of florida sparse matrix collection,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.035437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:50.059639Z digest=sha256:6f48749dd63ad72d66d6d675dbcabe793309890e47fab5720b81fb27be31c615

Observation e30d58bd-1ef0-4ac9-9c93-a690dbd34593 · outbound

This paper cites Available: https://www.computer.org/csdl/proceedings- article/ipdpsw/2024/646000a520/1YTstNCnXCo.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Available: https://www.computer.org/csdl/proceedings- article/ipdpsw/2024/646000a520/1YTstNCnXCo

Reference 525

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:13:52.368104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:13:49.853416Z digest=sha256:c25d440e6c71058afe888f8516b8bf38dd9ede48138f906eccdda273cfd8ad5c

Pith citing papers

No inbound Pith citation observations are available.