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Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML
  Prefetcher for Accelerating Graph Analytics
v1v2 (latest)

Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics

10 December 2022
Pengmiao Zhang
Rajgopal Kannan
Viktor K. Prasanna
ArXiv (abs)PDFHTML

Papers citing "Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics"

12 / 12 papers shown
Title
Attention Bottlenecks for Multimodal Fusion
Attention Bottlenecks for Multimodal Fusion
Arsha Nagrani
Shan Yang
Anurag Arnab
A. Jansen
Cordelia Schmid
Chen Sun
104
569
0
30 Jun 2021
Graph Learning: A Survey
Graph Learning: A Survey
Xiwei Xu
Ke Sun
Shuo Yu
Abdul Aziz
Liangtian Wan
Shirui Pan
Huan Liu
GNN
87
353
0
03 May 2021
SISA: Set-Centric Instruction Set Architecture for Graph Mining on
  Processing-in-Memory Systems
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems
Maciej Besta
Raghavendra Kanakagiri
Grzegorz Kwa'sniewski
Rachata Ausavarungnirun
Jakub Beránek
...
Salvatore Di Girolamo
Marek Konieczny
Nils Blach
O. Mutlu
Torsten Hoefler
41
86
0
15 Apr 2021
Evaluation: from precision, recall and F-measure to ROC, informedness,
  markedness and correlation
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
D. Powers
175
5,293
0
11 Oct 2020
Reactive Soft Prototype Computing for Concept Drift Streams
Reactive Soft Prototype Computing for Concept Drift Streams
Christoph Raab
Moritz Heusinger
Frank-Michael Schleif
50
122
0
10 Jul 2020
Learning under Concept Drift: A Review
Learning under Concept Drift: A Review
Jie Lu
Anjin Liu
Fan Dong
Feng Gu
João Gama
Guangquan Zhang
AI4TS
65
1,290
0
13 Apr 2020
An Empirical Guide to the Behavior and Use of Scalable Persistent Memory
An Empirical Guide to the Behavior and Use of Scalable Persistent Memory
Jian Yang
Juno Kim
Morteza Hoseinzadeh
Joseph Izraelevitz
Steven Swanson
25
408
0
09 Aug 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating
  Knowledge into Learning Systems
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden
S. Mayer
Katharina Beckh
B. Georgiev
Sven Giesselbach
...
Rajkumar Ramamurthy
Michal Walczak
Jochen Garcke
Christian Bauckhage
Jannis Schuecker
81
643
0
29 Mar 2019
Accelerating PageRank using Partition-Centric Processing
Accelerating PageRank using Partition-Centric Processing
Kartik Lakhotia
Rajgopal Kannan
Viktor Prasanna
38
41
0
21 Sep 2017
Multimodal Machine Learning: A Survey and Taxonomy
Multimodal Machine Learning: A Survey and Taxonomy
T. Baltrušaitis
Chaitanya Ahuja
Louis-Philippe Morency
111
2,937
0
26 May 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,561
0
02 Dec 2016
GraphLab: A New Framework For Parallel Machine Learning
GraphLab: A New Framework For Parallel Machine Learning
Yucheng Low
Joseph E. Gonzalez
Aapo Kyrola
Danny Bickson
Carlos Guestrin
J. M. Hellerstein
62
908
0
09 Aug 2014
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