109 citations · 150 across the 6 of their papers we have counts for
4 papers · 1 filter
Demystifying FPGA Hard NoC Performance
Sihao Liu, Jake Ke, Tony Nowatzki +1
With the advent of modern multi-chiplet FPGA architectures, vendors have begun integrating hardened NoC to address the scalability, resource usage, and frequency disadvantages of s…
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…
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave, Riyadh Baghdadi, Tony Nowatzki +3
Machine learning (ML) models are widely used in many important domains. For efficiently processing these computational- and memory-intensive applications, tensors of these over-par…
Open-source Hardware: Opportunities and Challenges
Gagan Gupta, Tony Nowatzki, Vinay Gangadhar +1
Innovation in hardware is slowing due to rising costs of chip design and diminishing benefits from Moore's law and Dennard scaling. Software innovation, on the other hand, is flour…