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20152025
most citedPerformance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Modern Multi- and Many-Core Processors

39 citations · 69 across the 20 of their papers we have counts for

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Showing cs.ARShow all

5 papers · 1 filter

cs.AR2023

Architectural Support for Efficient Data Movement in Disaggregated Systems

Christina Giannoula, Kailong Huang, Jonathan Tang +4

Resource disaggregation offers a cost effective solution to resource scaling, utilization, and failure-handling in data centers by physically separating hardware devices in a serve…

cs.AR2023

DaeMon: Architectural Support for Efficient Data Movement in Disaggregated Systems

Christina Giannoula, Kailong Huang, Jonathan Tang +4

Resource disaggregation offers a cost effective solution to resource scaling, utilization, and failure-handling in data centers by physically separating hardware devices in a serve…

cs.AR2022★ 1 cited

Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems

Christina Giannoula, Ivan Fernandez, Juan Gómez-Luna +3

Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures. Near-bank PIM architectures place simple cores close to DRAM banks a…

cs.AR2022★ 2 cited

SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems

Christina Giannoula, Ivan Fernandez, Juan Gómez-Luna +3

Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures. Near-bank PIM architectures place simple cores close to DRAM banks a…

cs.AR2021

SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures

Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou +7

Near-Data-Processing (NDP) architectures present a promising way to alleviate data movement costs and can provide significant performance and energy benefits to parallel applicatio…