Следене
Ian Graves
Ian Graves
Computer Science, University of Missouri
Потвърден имейл адрес: mail.missouri.edu
Заглавие
Позовавания
Позовавания
Година
A virtual memory based runtime to support multi-tenancy in clusters with GPUs
M Becchi, K Sajjapongse, I Graves, A Procter, V Ravi, S Chakradhar
Proceedings of the 21st international symposium on High-Performance Parallel …, 2012
832012
Semantics driven hardware design, implementation, and verification with ReWire
A Procter, WL Harrison, I Graves, M Becchi, G Allwein
Proceedings of the 16th ACM SIGPLAN/SIGBED Conference on Languages …, 2015
182015
Sifting signal from noise: A new perspective on the meaning of tweets about the “big game”
I Graves, N McDonald, SP Goggins
new media & society 18 (2), 293-312, 2016
142016
A principled approach to secure multi-core processor design with ReWire
A Procter, WL Harrison, I Graves, M Becchi, G Allwein
ACM Transactions on Embedded Computing Systems (TECS) 16 (2), 1-25, 2017
132017
A programming model for reconfigurable computing based in functional concurrency
WL Harrison, I Graves, A Procter, M Becchi, G Allwein
2016 11th International Symposium on Reconfigurable Communication-centric …, 2016
122016
Hardware synthesis from functional embedded domain-specific languages: A case study in regular expression compilation
I Graves, A Procter, WL Harrison, M Becchi, G Allwein
International Symposium on Applied Reconfigurable Computing, 41-52, 2015
92015
Provably correct development of reconfigurable hardware designs via equational reasoning
I Graves, A Procter, WL Harrison, G Allwein
2015 International Conference on Field Programmable Technology (FPT), 160-171, 2015
82015
Semantics-directed machine architecture in ReWire
A Procter, WL Harrison, I Graves, M Becchi, G Allwein
2013 International Conference on Field-Programmable Technology (FPT), 446-449, 2013
52013
Device-level composition in ReWire
I Graves
University of Missouri--Columbia, 2015
22015
Hardware Synthesis from Functional Embedded Domain-Specific Languages
I Graves, A Procter, WL Harrison, M Becchi, G Allwein
Node-Level Runtime System to Support Multi-tenancy in Clusters with GPUs
M Becchi, K Sajjapongse, I Graves, A Procter, V Ravi, S Chakradhar
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