Parallel Computer Architecture and Programming, Fall 2017
Title | Student(s) | Date of Presentation |
---|---|---|
Accelerating BNN Training | Andrew Pelegris, Rose Li | |
Hardware accelerator for DNN training with using FPGAs | Pavel Klishin | |
Multi-threading in Python and The GIL | Aparna Balagopalan, Amlan Kar | |
Faster Training of Deep Residual Networks Using Pipelined GPU’s and RevNet | Caleb Phillips | |
Foundations of Neuron Processing Unit Architectures: A Comparative Study of Current Neural Network and Machine Learning Accelerators | Mohammad Tabrizi | |
Alleviating the Memory Bottleneck using On-Chip Weight Decompression for Deep Learning | Dylan Malone Stuart, Milos Nikolic, Kevin Siu | |
Scheduling of multithreaded hardware in HLS for FPGA | Hsuan Hsiao, Yu Ting Chen | |
Dynamic Binary PRAM-style Simulator | Alexandre Luiz Brisighello Filho, Viktor Karyofyllis | |
Exploring the Usage of GPU in Recurrent Neural Networks Project Proposal | Bojian Zheng | |
Benchmarking Tensorflow and MXNET in a Reinforcement Learning Context | Mohamed Akrout, Morgan Shirley | |
Synthesizing Accurate Floating-point Computation for Different architetures | Victor Nicolet |