Author archive for: yichienl
Bingyi received outstanding poster award (1st place) in IPDPS 2023 Ph.D. Forum
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Bingyi Zhang received the outstanding poster award (1st place) in IPDPS 2023 Ph.D. Forum!
Read MoreBingyi received outstanding poster award (1st place) in IPDPS 2023 Ph.D. Forum
Our paper “Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA” and “A Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree…
Our paper “FPGA Acceleration of Deep Reinforcement Learning using On-Chip Replay Management” has been selected as the best paper at the 19th ACM International Conference…
Read MoreDeep RL Acceleration selected as best paper at CF ’22
HP-GNN accepted at FPGA ’22
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Our paper “HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform” has been accepted as a full paper at the 30th ACM/SIGDA International…
Efficient Neighbor-Sampling-based GNN Training selected as Outstanding Student Paper at HPEC ’21
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Our paper “Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform” has been selected as a Outstanding Student Paper at the 2021 IEEE High Performance Extreme…
Ph.D. Candidate Kartik Lakhotia successfully defended his Ph.D. Dissertation titled Explotiing Variable Task-partitioning Granularity for Parallel Graph Analytics. The defense committee consisted of Professor Viktor K.…
Our paper “Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution” has been accepted as a full paper at the The International Conference on Field-Programmable…
Read MoreFPGA Accelerated HE-Convolution accepted at FPL ’21