A scalable processing-in-memory accelerator for parallel graph processing
Citations
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Cites background from "A scalable processing-in-memory acc..."
...Several previous works have already implemented distinct PIM architectures aiming to both explore the abundant internal memory bandwidth and reduce data movement through the memory system [1, 3, 4, 9, 13, 24]....
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7 citations
Cites background or methods from "A scalable processing-in-memory acc..."
...Code annotation has been successfully used in both PIM [1,25,98] and fixed-function NMP [28,32,40,57]....
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...Other variations of the technique include an extension to the C++ library for identifying offloadable operations [24,98], extensions to the host ISA for uniformity across the system [16,19,57,91], or a new ISA entirely [25]....
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...Therefore, offloading decisions must consider the placement of data and the selection of PEs together to maximize performance [34,35,98]....
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References
14,696 citations
"A scalable processing-in-memory acc..." refers methods in this paper
...Our comprehensive evaluations using five state-of-the-art graph processing workloads with large real-world graphs show that the proposed architecture improves average system performance by a factor of ten and achieves 87% average energy reduction over conventional systems....
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13,327 citations
5,629 citations
"A scalable processing-in-memory acc..." refers methods in this paper
...For this purpose, we use METIS [27] to perform 512-way multi-constraint partitioning to balance the number of vertices, outgoing edges, and incoming edges of each partition, as done in a recent previous work [51]....
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...This is confirmed by the observation that Tesseract with METIS spends 59% of execution time waiting for synchronization barriers....
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4,019 citations
"A scalable processing-in-memory acc..." refers methods in this paper
...We evaluate our architecture using an in-house cycle-accurate x86-64 simulator whose frontend is Pin [38]....
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3,840 citations
"A scalable processing-in-memory acc..." refers methods in this paper
...Our comprehensive evaluations using five state-of-the-art graph processing workloads with large real-world graphs show that the proposed architecture improves average system performance by a factor of ten and achieves 87% average energy reduction over conventional systems....
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...It also includes two hardware prefetchers specialized for memory access patterns of graph processing, which operate based on the hints provided by our programming model....
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