Sisa: Set-centric instruction set architecture for graph mining on processing-in-memory systems
Simple graph algorithms such as PageRank have been the target of numerous hardware
accelerators. Yet, there also exist much more complex graph mining algorithms for problems …
accelerators. Yet, there also exist much more complex graph mining algorithms for problems …
[PDF][PDF] Enabling high-performance large-scale irregular computations
M Besta - 2021 - research-collection.ethz.ch
Computations on irregular graph structures are important for many fields, including social
sciences, bioinformatics, chemistry, medicine, cybersecurity, healthcare, web graph …
sciences, bioinformatics, chemistry, medicine, cybersecurity, healthcare, web graph …
[HTML][HTML] NodeFetch: High Performance Graph Processing Using Processing in Memory
M Mosayebi, M Dehyadegari - Journal of Electrical and Computer …, 2020 - jecei.sru.ac.ir
Background and Objectives: Graph processing is increasingly gaining attention during era of
big data. However, graph processing applications are highly memory intensive due to nature …
big data. However, graph processing applications are highly memory intensive due to nature …
Improving Cache Locality in Processing-in-Memory Accelerator for Parallel Graph Processing
H Alshamsi, TH Han - 전자공학회논문지, 2021 - dbpia.co.kr
Processing-in-memory (PIM) 은 그래프 프로세싱의 방대한 데이터 이동 문제를 해결하기 위해
각광받고 있는 솔루션이다. 이를 위해 프로세서를 메모리에 인접한 위치에 배치하여 연산을 …
각광받고 있는 솔루션이다. 이를 위해 프로세서를 메모리에 인접한 위치에 배치하여 연산을 …