activity
20202023
most citedTaurus: A Data Plane Architecture for Per-Packet ML

94 citations · 135 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2023

SatIn: Hardware for Boolean Satisfiability Inference

Chenzhuo Zhu, Alexander C. Rucker, Yawen Wang +1

This paper describes SatIn, a hardware accelerator for determining boolean satisfiability (SAT) -- an important problem in many domains including verification, security analysis, a…

cs.AR2023

Revet: A Language and Compiler for Dataflow Threads

Alexander Rucker, Shiv Sundram, Coleman Smith +4

Spatial dataflow architectures such as reconfigurable dataflow accelerators (RDA) can provide much higher performance and efficiency than CPUs and GPUs. In particular, vectorized r…

cs.PL2022★ 4 cited

Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture

Olivia Hsu, Alexander Rucker, Tian Zhao +2

We introduce Stardust, a compiler that compiles sparse tensor algebra to reconfigurable dataflow architectures (RDAs). Stardust introduces new user-provided data representation and…

cs.AR2021★ 37 cited

Capstan: A Vector RDA for Sparsity

Alexander Rucker, Matthew Vilim, Tian Zhao +3

This paper proposes Capstan: a scalable, parallel-patterns-based, reconfigurable dataflow accelerator (RDA) for sparse and dense tensor applications. Instead of designing for one a…

cs.NI2020★ 94 cited

Taurus: A Data Plane Architecture for Per-Packet ML

Tushar Swamy, Alexander Rucker, Muhammad Shahbaz +2

Emerging applications -- cloud computing, the internet of things, and augmented/virtual reality -- demand responsive, secure, and scalable datacenter networks. These networks curre…