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Conference paper
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2023
2022
2021
2020
Yuan Meng
,
Qian Wang
,
Tianxin Zu
,
Viktor Prasanna
(2023).
Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism
. In
ACM/IA3(SC'23 Workshop)
.
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Chi Zhang
,
Yuan Meng
,
Viktor Prasanna
(2023).
A Framework for Mapping DRL Algorithms with Prioritized Replay Buffer onto Heterogeneous Platforms
. In
IEEE/TPDS
.
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Yuan Meng
,
Rajgopal Kannan
,
Viktor Prasanna
(2023).
A Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree Management
. In
ACM/FPGA
.
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Yuan Meng
,
Hongjiang Men
,
Viktor Prasanna
(2022).
Accelerator Design and Exploration for Deformable Convolution Networks
. In
IEEE/SiPS
.
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Yuan Meng
,
Rajgopal Kannan
,
Viktor Prasanna
(2022).
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform
. In
IEEE/FPL
.
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Yuan Meng
,
Zhang Chi
,
Viktor Prasanna
(2022).
FPGA Acceleration of Deep Reinforcement Learning Using On-chip Replay Management
. In
ACM/CF
.
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Yuan Meng
,
Sanmukh Kuppannagari
,
Rajgopal Kannan
,
Viktor Prasanna
(2021).
PPOAccel: A High-Throughput Acceleration Framework for Proximal Policy Optimization
. In
IEEE/TPDS
.
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Nathaniel Peura
,
Yuan Meng
,
Sanmukh Kuppannagari
,
Viktor Prasanna
(2021).
FGYM: Toolkit for Benchmarking FPGA based Reinforcement Learning Algorithms
. In
IEEE/FPL
.
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Yuan Meng
,
Sanmukh Kuppannagari
,
Rajgopal Kannan
,
Viktor Prasanna
(2021).
How to Avoid Zero-spacing in Fractionally-Strided Convolution? A Hardware-Algorithm Co-design Methodology
. In
IEEE/HiPC
.
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Yuan Meng
,
Sanmukh Kuppannagari
,
Rajgopal Kannan
,
Viktor Prasanna
(2021).
Dynamap: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference
. In
ACM/FPGA
.
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Yuan Meng
,
Yang Yang
,
Sanmukh Kuppannagari
,
Rajgopal Kannan
,
Viktor Prasanna
(2020).
How to Efficiently Train Your AI Agent? Characterizing and Evaluating Reep Reinforcement Learning on Heterogeneous Platforms
. In
IEEE/HPEC
.
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Yuan Meng
,
Sanmukh Kuppannagari
,
Rachit Rajat
,
Ajitesh Srivastava
,
Rajgopal Kannan
,
Viktor Prasanna
(2020).
QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators
. In
IEEE/IPDPSW
.
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Yuan Meng
,
Sanmukh Kuppannagari
,
Viktor Prasanna
(2020).
Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms
. In
IEEE/FCCM
.
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