Data Engineering for Everyone
The rise of open-source software necessitated a software-engineering revolution (new standards, tools, licenses, etc.) to overcome the problems facing large distributed teams working on enormous code bases. Today, machine learning (ML) builds atop this vibrant and...
From the Editors’ Desk — 2021 Edition
The past year has certainly been eventful. Hopefully, there were a few “victories” along the way — surprising (and not so surprising) research results, accepted papers/proposals, qualifier defenses, graduations, chip tapeouts, and product releases. No...
Questions About Policies & Processes in the Wake of JIC
On February 8th, 2021, ACM publicly announced a summary of the Joint Investigative Committee’s (JIC’s) investigation into allegations of professional and publications related misconduct in our community. The announcement stated that there were several individuals who...
Valuing Diversity, Equity, and Inclusion in Our Computing Community
[This article also appears on the IEEE TCCA Blog, the ACM’s Committee for Systematic Change webpage, and the IEEE CS Diversity & Inclusion webpages.] There is a movement occurring broadly across many scientific and engineering fields, including widely within our...
Languages, Tools, and Techniques for Accelerator Design
FPGA-based accelerators have opened up a new frontier for accelerator design; instead of spending months building and fabricating silicon chips, programmers can buy a cloud instance to run custom hardware accelerators within hours. With the remarkable new hardware, there is a need for remarkable new software.
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