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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.724620Z digest=sha256:bda09c7e3704362a528a81011927078946656c7d224f1c2533c68c7e6f0169f6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.730249Z digest=sha256:b9def4ebf5c9974838c1cf78b0bcc821e883ac119eb527f39ec3ece17d26c786

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.735455Z digest=sha256:c1e39d82322695a507dafd68bba7a6304258c26f250027c7ea4691eeab6a4ffa

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:a3b7bab20bbf941e311f604e96042a173487c52101cf5bc195b2513cb35cdb4d

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:b97f101dc6391ca124c80b570cae20a838098929fdd47f4215c453798fd7a156

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.757642Z digest=sha256:d78a2d4a6fda4e9c529b336e72856c5583e55bc69466820605fab5551333e648

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=sha256:9ed5e64431446a5f9a65c160948ecb4f85e81e89bbe88b96816cfb5a94a77934

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.768908Z digest=sha256:9b657d66e9e55edbf114de411042a4d9a44deaf45c73f37c25ae97741224f4a5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.773949Z digest=sha256:74c6b93762bc7361e8467e4bc1a276c773cc4566ab723d0255492dc347c95e2d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.779330Z digest=sha256:21221034e623246c15b85442439b8500aa392bdf3e0d55e4b1ae63ec5dae2eda

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.784295Z digest=sha256:9cb5027a4f725a4e8f4f20c74c49c7229cadefca112fe1171c195a71c1d09f91

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.790165Z digest=sha256:43e27d68e5d47d815f075e17b19e298f962a0f4046eab507ed4626c7d2f442fc

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=sha256:39ac60cf5b6f275f385e44b455ea4425427a4f2a78d7b211c852f2ffaeb08b01

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=sha256:94a6e03c922e23707b601202d0e9d21117b36d6f2227473b41a1473e5a8fb9f7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.809664Z digest=sha256:37ceff8c2b08e4b25e64fc45b3fe4d66873df7c69bf231fdb781856205bd8b11

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=sha256:658cd1b6e828c15c52ba084499ee3a29dc6032a0570bf77fe59bb37079270190

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.822490Z digest=sha256:0ce8577809b955c6c4d066c7a0fae6bbbeb1f469bcf43276b47df29b54d49840

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=sha256:0014413f5a509d685c46ce56521a449e5321a3428fe7bb040e16d5ebf6d80160

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.832222Z digest=sha256:23210a1c6b9edeceead6b38c3b735292d464352217625d69245a861c35286e53

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.837727Z digest=sha256:e2a6309b5fb9697063860ecc5ed15873e0a8094630eca164a23dd089757cfbe5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.843502Z digest=sha256:a8a11660f58a5f74721f26f5e1e2876458f9eb9e3a19e6c3f2096f6ce4603f13

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.848526Z digest=sha256:95ee3d5059641134bec7c92bb6b26907544dc04f74b22b14a16694872d62560f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.860556Z digest=sha256:aa8f6ca7c937942a9993a9dd26e1adef655ab32a3b632d3e4a877474553aab93

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.866574Z digest=sha256:6a1606cd9e024c316f3e67b8a1451abaac5bb867168c26b3924cb73615814056

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.871602Z digest=sha256:f3ce40b519b07100f819ecc235ed2b72a0730a6062b241f5ac7825f3028a077e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.876724Z digest=sha256:08d0cbe065e5d58b022ed61d426bab89d1e775ddcc00d2b6a2e958c5bd0685ba

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.881849Z digest=sha256:0cda8c993e442dcaaefc685e2c41f3b6157153f6c99631404c4c499cdafd2e7a

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=sha256:82926195ca541bbbe9348d817f6d9a2273519ddc1a07957a9be2c9ae15211a49

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.891690Z digest=sha256:4fc8da8c34d584658cbe19d34f82b1967b3a8ac63d8c2a60840cd37c00c92d8a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.896763Z digest=sha256:e1b1c868b36035d28923b6ef7e5df4d424ea803c8a1244af8ac73ceb3e5ba6c4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.901609Z digest=sha256:ba64b215961fcda79e7fb16685a83480c67987d9099e17c7670c0d8a0db49f2b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.907063Z digest=sha256:048c29b0fbd99f24a4fbe287f40f1f6d1bf37833cc35b36fbff0fc6824ccf5d8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.911117Z digest=sha256:2fa92631d6e157465cdeea65314263039b065a81e8d68e2ec846b578d30660ce

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:b12d97aa64acb0154980bed333155d2fa70071b2ad7a70785229422005f06f76

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:ee380d6c21fc17c5bc5ad2cefbc712e1b40c0acab9a91698ee85d7dc4c838598

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.934022Z digest=sha256:cc06dc927fd25ae35ca305d8dd197aa650c74300726966cc176c3edb46764e7e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.938775Z digest=sha256:d20f52024b58e3a95d3d3ec113bd99f0781b74998970d8b1c63aff0dacac7cd6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.944055Z digest=sha256:9b5a1e3fd2b5ea02c59fba02af776f8a8caab69bb5615eccb732c010e480ecd8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.949443Z digest=sha256:b01ae52156215792758d9f34e9ab1bd6d7eb45c3c45a96457a4b6167d9d1d00b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.955039Z digest=sha256:0ba8c46c99fe43686fbb952eecd99aa71c2fe70b1a489d399213d5b2bffe55bb

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=sha256:86c1d99f0ed817864f0c57a4c0a7877413e73079d0ad74bccc50aa9ed8c5a229

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.966188Z digest=sha256:c9e3f619f40958ecbf6b99f50171ab04c2c16194c9fc78a6e550e6fd4b963192

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.971477Z digest=sha256:4f854ae939267acabae1a2df0c7e6ef13ad1cea646db52891af85fd38ad1dcf6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.980581Z digest=sha256:c9ff0abbf648bd8a40739889bb65ea5fe4c297c98bd023fab79bf99a21126baa

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.987068Z digest=sha256:edd11d8cb184acc245077421b604130d66dfc72073201f9d144b0bda29d0a974

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=sha256:8a17e68d68168ba519768d3af99cda6bd443786f85282a6a1923e1666f3f7868

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.999243Z digest=sha256:534a849f3eca486d18d22b435c11784bdad5413fd904b25eec78fa276705f33a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:50.004647Z digest=sha256:a8d44ba00f260800db9f17da56a805330a7d437a6255b479a06e2fb74e713e09

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:50.010774Z digest=sha256:c784d099b434dbab5f8c6e960042b30ca40dd723714c0bb0f1271568e8b9ff93

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:50.015876Z digest=sha256:38a2493b4501f7a6d0d5569a4390e660c9528122442d3a30923314d23f19eca1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:50.020583Z digest=sha256:d3a81e3fa3e6dcce031b118ad3e9af7e193fffc1186f99ac0803661ef3421ca9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:50.024842Z digest=sha256:4da27f4eb3f9f4d01608184c5f5497066f78116980c044d072e7571533185e44

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:50.029239Z digest=sha256:4240e5928647629e4f845a8934be8c4a5676df97c95c9b79044374725404619c

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=sha256:55cad689cc957e743236711708ce817ec0176e7cdb95af3b7abdef9d77759573

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:50.043506Z digest=sha256:02979fbd12e6fd0000486b502b8947c341d045cee190821568d8565452c3f48c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:50.048559Z digest=sha256:403975fc42d506f8ff17baaec4c1526a8e271e7753cd6dc01be70b5156ed18b6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:50.053142Z digest=sha256:ca01ae4cafb10cc7648a4a60e78f90aa0182fe2906f983dbbed8f63c871a61fd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:50.059639Z digest=sha256:0d965c285f8f0077eb460ba81a0dd48ee00212861d53cbc3a943c64daded867a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:13:49.853416Z digest=sha256:91332bc2772cf758928d82d054af5c368d91542f29775048c042836577492ff1

Pith citing papers

No inbound Pith citation observations are available.