activity
20162024
most citedMulti-level analysis of compiler induced variability and performance tradeoffs

14 citations · 21 across the 9 of their papers we have counts for

collaborators

11 papers

cs.PL2024

FlowFPX: Nimble Tools for Debugging Floating-Point Exceptions

Taylor Allred, Xinyi Li, Ashton Wiersdorf +2

Reliable numerical computations are central to scientific computing, but the floating-point arithmetic that enables large-scale models is error-prone. Numeric exceptions are a comm…

cs.DC2021

Efficient Linearizability Checking for Actor-based Systems

Mohammed S. Al-Mahfoudh, Ryan Stutsman, Ganesh Gopalakrishnan

Recent demand for distributed software had led to a surge in popularity in actor-based frameworks. However, even with the stylized message passing model of actors, writing correct…

cs.DC2021

Automated Dynamic Concurrency Analysis for Go

Saeed Taheri, Ganesh Gopalakrishnan

The concurrency features of the Go language have proven versatile in the development of a number of concurrency systems. However, correctness methods to address challenges in Go co…

cs.CV2020★ 2 cited

Going Beyond Classification Accuracy Metrics in Model Compression

Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara +5

With the rise in edge-computing devices, there has been an increasing demand to deploy energy and resource-efficient models. A large body of research has been devoted to developing…

cs.PL2020

An Abstraction-guided Approach to Scalable and Rigorous Floating-Point Error Analysis

Arnab Das, Ian Briggs, Ganesh Gopalakrishnan +2

Automated techniques for rigorous floating-point round-off error analysis are important in areas including formal verification of correctness and precision tuning. Existing tools a…

cs.DC2020★ 1 cited

FPDetect: Efficient Reasoning About Stencil Programs Using Selective Direct Evaluation

Arnab Das, Sriram Krishnamoorthy, Ian Briggs +2

We present FPDetect, a low overhead approach for detecting logical errors and soft errors affecting stencil computations without generating false positives. We develop an offline a…