16 citations · 22 across the 5 of their papers we have counts for
5 papers
PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation
Aman Arora, Jian Weng, Siyuan Ma +2
Bit-serial Processing-In-Memory (PIM) is an attractive paradigm for accelerator architectures, for parallel workloads such as Deep Learning (DL), because of its capability to achie…
CoMeFa: Compute-in-Memory Blocks for FPGAs
Aman Arora, Tanmay Anand, Aatman Borda +4
Block RAMs (BRAMs) are the storage houses of FPGAs, providing extensive on-chip memory bandwidth to the compute units implemented using Logic Blocks (LBs) and Digital Signal Proces…
Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs
Aman Arora, Bagus Hanindhito, Lizy K. John
The configurable building blocks of current FPGAs -- Logic blocks (LBs), Digital Signal Processing (DSP) slices, and Block RAMs (BRAMs) -- make them efficient hardware accelerators…
The gem5 Simulator: Version 20.0+
Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram +75
The open-source and community-supported gem5 simulator is one of the most popular tools for computer architecture research. This simulation infrastructure allows researchers to mod…
Demystifying the MLPerf Benchmark Suite
Snehil Verma, Qinzhe Wu, Bagus Hanindhito +4
MLPerf, an emerging machine learning benchmark suite strives to cover a broad range of applications of machine learning. We present a study on its characteristics and how the MLPer…