activity
20162026
most citedHardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights

109 citations · 150 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Humanize: Judgement Engineering for Agentic Coding

Sihao Liu, Ligeng Zhu, Zijian Zhang +6

Agentic coding makes code generation cheap, but reliable completion remains difficult: the agent that writes the code is a weak judge of whether it is done. We present Humanize, a…

cs.AR2025

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…

cs.AR2023

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…

cs.PL2021★ 29 cited

UNIT: Unifying Tensorized Instruction Compilation

Jian Weng, Animesh Jain, Jie Wang +3

Because of the increasing demand for computation in DNN, researchers develope both hardware and software mechanisms to reduce the compute and memory burden. A widely adopted approa…

cs.AR2020★ 109 cited

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…

cs.DC2019★ 1 cited

Exploiting Fine-Grain Ordered Parallelism in Dense Matrix Algorithms

Jian Weng, Vidushi Dadu, Tony Nowatzki

Dense linear algebra kernels are critical for wireless applications, and the oncoming proliferation of 5G only amplifies their importance. Many such matrix algorithms are inductive…

cs.AR2016★ 11 cited

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…