Pith. sign in

Paper Citation Record · LEDGER

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

As of 12 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=sha256:8fcdc910ddcd94f36dccecc789ea63ec03b2d5208badddb7745df3f3ee692eca

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

Resolution
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=sha256:42f3b31db40992d64ce0499aeb4b8f7a1c79af6cb682013c6858968914f95502

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:e44d1c7740650ff7e430e45617c2a8b8511601bc86dab7caefbfe1855183ba1b

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=sha256:53dfb3df2cd2ca8765b0033e38ddbe8a3b58423104b379fd4446c4c9218ebccb

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=sha256:89fbbce1e0b149c14693aa1561fc4e0f65d1930fed4175bb5d8d0c8754e32951

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=sha256:91ab09de36eb583336ef1e641b53f798982b75879223bef957d4864c890e80d9

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:c57820396221a0134095fc9f07233d66574fe45909427644cd1ed63b2e64621e

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:e2e63d8d1cd3a53e753e2e8da79f2471b8864e618c3df7f41165b319ba405cdb

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=sha256:624295e47aff2e782c96d6be7645f79544ad6fea2a8d5db608bcf3c72c190bf3

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=sha256:95e333f725daf70fbff9282ac149d394120074cbc18206edadbaf66cf3bb86b4

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=sha256:476df3581d475280ce7718ede8a56c6817ee5e5ff36f0e741868b4caf6911fef

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:f9289e57cbc5cc4cda1d8e713100cc0413a6b94b4b231619bd40bf02156ce763

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=sha256:828f94d33ad1fc682fffc62dc63cd067e9b4a412c2c987cf7884af3de9f1b8cc

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:efbad41fbb7cc2d6f92bd1094d3de8982bb0cba996c38ebb11aed55c66ffa73e

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=sha256:4dab73c0a855c21239e124ec05a6600192f16b2a8369c309033a0e3ec88050e7

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=sha256:633537d2078440dd0198921590bf06214c93685f4b537b07c6c9c55b8b12e026

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=sha256:93f316cf5475b8a84a157f840866af7469a680f1a975d2500a117936b8e2c8ed

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:d48b834cbd089251786365cb62a5c8b498307ae8dd47f1fb739cd5f2d8ee157b

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=sha256:147292623932b73ca661604fd57d080615bbb9490d1b13f3546f6be709c1abe7

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:a7a935b181fc9ed31f0c67f206ad7eea7f2710271919c933d2ca2be03e4017d8

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:f9cef1ca64cac7bf915626d1f7a648df0272f314909d92d2a43d4f99118254e2

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=sha256:92113a32957788fb536a7105a797791531a6302ac30dbb1efbf9f9a4f0de51ab

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=sha256:4e3dcb00ca08a2a375b806ac844a618ace86782da51a37c8b463b5f5e865eecc

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=sha256:39b930ca321c144a7581f4e63e0fb40abbe573f99f9ea09cdc2ed1d1aa2fa6c2

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=sha256:7df19d59d552f5cfadc97d17c71ebd0e38aeeedb2a00a2ed9e2f1cf0f5e2c0f6

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=sha256:9f9e4397dae0f9935871ff73123e2b561cc498c83fa1cb4cc9a33ff89b01681a

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:d707127648e731e0dbdb1861d00f27e7e95de3f42ab8b5d25571325f20e80a77

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=sha256:4a4a7b1944788e39b3ebf027149881878609f248e6ff09426da7bb2bbafb1727

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=sha256:8a84f5f9c515fb3bd8370fcf92c05123f0c6374ad87b088d882dd229dc87fd60

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:f65ca82d3c7d9af1e1e2508d052ac4d8a5ae161b8b21b995c5da85e261cc9f41

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:cb19e0e1e7874612fa98116ebfd5f5f448d57523aa50eeab84b15724039c32e1

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=sha256:5f7d2d89214d61aa29d1e58b301b0d907cf0b57e896fc2ec50bb89747cf15ed5

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:b03d595a6aa063807150185771054d06611760aff95c9cbabd9a5a8e99cc7fc1

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=sha256:03ff5153e3f3b465de26b1e5c87bec08513a76f620a1e0c637f60c4777cf2c47

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:ec2a973d2759033835445139a01e323f862ed5a55541e36efb6244a032422b6b

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=sha256:698a0efe780062bfc0c3e068015552e78c7fe7e24480d0df5d77cb6bd340a847

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:deca4569aaf2488722a48f7b8c6e8d32d1272f17d8dc89509765841e995d34c6

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=sha256:8b70d60539a9bc09b33996254e22a582afb6ca45208d6b8a574b8be38d8e752b

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=sha256:56d15510f44422fb749d572391f45e931e49397405da186830cf30ff53fb1f90

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:d985b4a733796223e7bc0081a7792ba712bf18183083f3372c7b0a12230afa10

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:f6e16d18c21f3f804159223e0014c804b49d7acb4ca5915ace32a1e1c40a1a11

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=sha256:26baa9c67089b387482c8008dd25176274b2722ae119555abbc4bf1000578bea

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:ede2e8383d1b13aff04672ec6f35d50470adc06d16ce9c50b9eae334d4fbbee1

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:bc6eb739c709d67e7dcae83a7147887929dd24f03a12165ec1b4a20e0e74eac2

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=sha256:0c935181c181d921b8c183e4c4a09ef624b6728b486e6986037bbb3e43739b5d

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=sha256:23f2de438496ec5bdfe4e151c49cca86ef31d19155902c6d70a608c145416fb9

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=sha256:4ad1a14e3e27a85f4c27f0e96331f9ed92c5e1d225db66cd353db1f0c7d4af67

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=sha256:9baca825ebfe71e2db4539cd9ab3e2091d1aab3193e7fe36859987060519f661

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=sha256:42238a2f63020e9dce3dabc66bf21dfcb30ab030af0ad8f05c9ba0aad5599c9c

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:a741d12577185c89f7c65c51a68b08387c2ee6e06252bf26919dc1fd40c1e64d

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=sha256:134e1cd660bd6105eabdf3afa8750b990a6fd14747cc008da9bcfdea041cac60

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:f9138bd986cc68423ee4a8b92766e9d3266f646a01cb09696e17495759854b71

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:cf7d0a4b86654f5de95674b5953b209b6293dac8a3bb636f021f0fa5f47f1b45

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=sha256:3d0d3ac10de1f470c88138c272581db05de147c6e751189875cad70c3fb8d192

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=sha256:7c30e736343b679578a6e52446913c073970069f8016bca5eed7db1791c3bf11

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=sha256:8aa07ca0bc82739573344a94050aac9cbdb63da29e70c4bff277f05cfb10e776

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:d2c5555b9214433559939fb75bfa4887a1f2dac91923cbe755e52a9d0da353ed

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=sha256:1c1c50e8a929ae043436e68ed3902f3af3630d4d0417345b2a6d8f34ca513fcc

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=sha256:0a9805af6c202d678d3815627a9cb51f9a851e85b8a10701bd77836f88091674

Pith citing papers

No inbound Pith citation observations are available.