Xiang Gong
Xiang Gong
Geverifieerd e-mailadres voor ece.neu.edu
Geciteerd door
Geciteerd door
Hetero-mark, a benchmark suite for CPU-GPU collaborative computing
Y Sun, X Gong, AK Ziabari, L Yu, X Li, S Mukherjee, C McCardwell, ...
2016 IEEE International Symposium on Workload Characterization (IISWC), 1-10, 2016
MGPUSim: Enabling multi-GPU performance modeling and optimization
Y Sun, T Baruah, SA Mojumder, S Dong, X Gong, S Treadway, Y Bao, ...
Proceedings of the 46th International Symposium on Computer Architecture …, 2019
Exploring the heterogeneous design space for both performance and reliability
R Ubal, D Schaa, P Mistry, X Gong, Y Ukidave, Z Chen, G Schirner, ...
Proceedings of the 51st Annual Design Automation Conference, 1-6, 2014
TwinKernels: an execution model to improve GPU hardware scheduling at compile time
X Gong, Z Chen, AK Ziabari, R Ubal, D Kaeli
2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017
Characterizing the microarchitectural implications of a convolutional neural network (cnn) execution on gpus
S Dong, X Gong, Y Sun, T Baruah, D Kaeli
Proceedings of the 2018 ACM/SPEC International Conference on Performance …, 2018
Exploring the features of OpenCL 2.0
S Mukherjee, X Gong, L Yu, C McCardwell, Y Ukidave, T Dao, ...
Proceedings of the 3rd International Workshop on OpenCL, 1-5, 2015
Mgsim+ mgmark: A framework for multi-gpu system research
Y Sun, T Baruah, SA Mojumder, S Dong, R Ubal, X Gong, S Treadway, ...
arXiv preprint arXiv:1811.02884, 2018
Performance evaluation and optimization mechanisms for inter-operable graphics and computation on gpus
Y Ukidave, X Gong, D Kaeli
Proceedings of Workshop on General Purpose Processing Using GPUs, 37-45, 2014
High performance computing of fiber scattering simulation
L Yu, Y Zhang, X Gong, N Roy, L Makowski, D Kaeli
Proceedings of the 8th Workshop on General Purpose Processing using GPUs, 90-98, 2015
HAWS: Accelerating GPU wavefront execution through selective out-of-order execution
X Gong, X Gong, L Yu, D Kaeli
ACM Transactions on Architecture and Code Optimization (TACO) 16 (2), 1-22, 2019
PAQSIM: Fast Performance Model for Graphics Workload on Mobile GPUs
X Gong, C Hu, CC Lim
The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools …, 2020
Improving GPU Performance through Instruction Redistribution and Diversification
X Gong
Northeastern University, 2018
ICCD 2020
D Kaeli, T Carlson, M Geier, Y Sun, J Su, O Plata, H Jiang, G Byrd, ...
LCPC 2015
C Kalra, X Gong, R Ubal, D Kaeli
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Artikelen 1–14