Artifact description appendix for the paper "Speeding Up SpMV for Power-Law Graph Analytics by Enhancing Locality and Vectorization" (SC 2020
Existing distributed graph analytics systems are categorized into two main groups: those that focus ...
We will present some recent results about testing graph properties in sparse graphs and will discuss...
This artifact is concerned with Section 5 (Evaluation) of the paper "Accelerating Nested Data Parall...
Artifact package to reproduce some results in our paper Efficiently Running SpMV on Long Vector Arch...
The artifact for the paper "Exploiting the Sparseness of Control-flow and Call Graphs for Efficient ...
This repository contains the code and data required to validate the results from the paper: "Throttl...
Appendix for paper "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
Abstract—SIMD vectors are widely adopted in modern general purpose processors as they can boost perf...
AbstractSparse matrix-vector multiplication (SpMV) is a fundamental operation for many applications....
2018-10-16Graph analytics has drawn much research interest because of its broad applicability from m...
Liu, Qin.Thesis Ph.D. Chinese University of Hong Kong 2016.Includes bibliographical references (leav...
Graph500 is a data intensive application for high performance computing and it is an increasingly im...
<p>(A) Edge reduction versus edge density. Edge reduction attains a minimum for an edge density betw...
Artifact appendix to PPAM22 submission "Exploring Techniques for the Analysis of Spontaneous Asynchr...
MBFGraph: An SSD-Based Analytics System for Evolving Graphs (SC'23) Larger Datase
Existing distributed graph analytics systems are categorized into two main groups: those that focus ...
We will present some recent results about testing graph properties in sparse graphs and will discuss...
This artifact is concerned with Section 5 (Evaluation) of the paper "Accelerating Nested Data Parall...
Artifact package to reproduce some results in our paper Efficiently Running SpMV on Long Vector Arch...
The artifact for the paper "Exploiting the Sparseness of Control-flow and Call Graphs for Efficient ...
This repository contains the code and data required to validate the results from the paper: "Throttl...
Appendix for paper "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
Abstract—SIMD vectors are widely adopted in modern general purpose processors as they can boost perf...
AbstractSparse matrix-vector multiplication (SpMV) is a fundamental operation for many applications....
2018-10-16Graph analytics has drawn much research interest because of its broad applicability from m...
Liu, Qin.Thesis Ph.D. Chinese University of Hong Kong 2016.Includes bibliographical references (leav...
Graph500 is a data intensive application for high performance computing and it is an increasingly im...
<p>(A) Edge reduction versus edge density. Edge reduction attains a minimum for an edge density betw...
Artifact appendix to PPAM22 submission "Exploring Techniques for the Analysis of Spontaneous Asynchr...
MBFGraph: An SSD-Based Analytics System for Evolving Graphs (SC'23) Larger Datase
Existing distributed graph analytics systems are categorized into two main groups: those that focus ...
We will present some recent results about testing graph properties in sparse graphs and will discuss...
This artifact is concerned with Section 5 (Evaluation) of the paper "Accelerating Nested Data Parall...
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