Artiklar med krav på offentlig åtkomst - Jason LauLäs mer
Tillgängliga någonstans: 8
AutoBridge: Coupling coarse-grained floorplanning and pipelining for high-frequency HLS design on multi-die FPGAs
L Guo, Y Chi, J Wang, J Lau, W Qiao, E Ustun, Z Zhang, J Cong
FPGA '21: The 2021 ACM/SIGDA International Symposium on Field-Programmable …, 2021
Krav: US National Science Foundation, US National Institutes of Health
Sextans: A streaming accelerator for general-purpose sparse-matrix dense-matrix multiplication
L Song, Y Chi, A Sohrabizadeh, Y Choi, J Lau, J Cong
FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable …, 2022
Krav: US National Science Foundation
Extending high-level synthesis for task-parallel programs
Y Chi, L Guo, J Lau, Y Choi, J Wang, J Cong
FCCM '21: 2021 IEEE 29th Annual International Symposium on Field …, 2021
Krav: US National Science Foundation, US National Institutes of Health
CHARM: Composing heterogeneous accelerators for matrix multiply on Versal ACAP architecture
J Zhuang, J Lau, H Ye, Z Yang, Y Du, J Lo, K Denolf, S Neuendorffer, ...
FPGA '23: The 2023 ACM/SIGDA International Symposium on Field Programmable …, 2023
Krav: US National Science Foundation
Analysis and optimization of the implicit broadcasts in FPGA HLS to improve maximum frequency
L Guo*, J Lau*, Y Chi, J Wang, CH Yu, Z Chen, Z Zhang, J Cong
DAC '20: 2020 57th ACM/IEEE Design Automation Conference, 1-6, 2020
Krav: US National Science Foundation, US Department of Defense
TAPA: A scalable task-parallel dataflow programming framework for modern FPGAs with co-optimization of HLS and physical design
L Guo*, Y Chi*, J Lau*, L Song, X Tian, M Khatti, W Qiao, J Wang, E Ustun, ...
TRETS: ACM Transactions on Reconfigurable Technology and Systems 16 (4), 1 …, 2023
Krav: US National Science Foundation, US Department of Defense, US National …
HeteroRefactor: Refactoring for heterogeneous computing with FPGA
J Lau*, A Sivaraman*, Q Zhang*, MA Gulzar, J Cong, M Kim
ICSE '20: 2020 IEEE/ACM 42nd International Conference on Software …, 2020
Krav: US National Science Foundation, US Department of Defense
Student cluster competition 2017, team Tsinghua University: Reproducing vectorization of the tersoff multi-body potential on the Intel Skylake and NVIDIA Volta architectures
J Lau, Y Li, L Xie, Q Xie, B Li, Y Chen, G Feng, J Yu, X Yu, M Wang, ...
Parallel Computing 78, 47-53, 2018
Krav: National Natural Science Foundation of China
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