Luis Ceze – Communications of the ACM

Research Highlights Sep 25 2024

Technical Perspective: Optimizing Convolution Neural Nets with a Unified Transformation Approach

The key idea in "Neural Architecture Search for Program Transformation Exploration," by Jack Turner et al., is to express model architecture search as a program transformation, such that it can be naturally unified with the optimization and compilation process.

Software Engineering and Programming Languages

Author Archives

BLOG@CACM Mar 31 2020

The ASPLOS 2020 Online Conference Experience

CS pioneered it. Should we use it?

Computing Profession

Research and Advances Jan 1 2015

Neural Acceleration For General-Purpose Approximate Programs

This paper describes a new approach that uses machine learning-based transformations to accelerate approximation-tolerant programs.

Architecture and Hardware

Research and Advances Dec 1 2009

The Bulk Multicore Architecture For Improved Programmability

Easing the programmer's burden does not compromise system performance or increase the complexity of hardware implementation.

Architecture and Hardware

Research and Advances Jun 1 2009

Two Hardware-Based Approaches For Deterministic Multiprocessor Replay

Modern computer systems are inherently nondeterministic due to a variety of events that occur during an execution. The lack of repeatability that arises from this nondeterminism can make it difficult to develop and maintain correct software.

Architecture and Hardware

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