by Khari Douglas on Jun 25, 2021 | Tags: Accelerators, Interview, Machine Learning, Modelling, Policy
[Editor’s Note: This article originally appeared on the CCC blog (part 1 and part 2) and is re-posted here with permission.] A new episode of the Computing Community Consortium‘s (CCC) official podcast, Catalyzing Computing, is now available. In this episode, Khari...
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by Mingyu Gao on Jun 7, 2021 | Tags: Accelerators, Cryptography, MPC, Security
Big Data and artificial intelligence have empowered the data-driven computing paradigm, in which data become the most precious resources. Specifically, if one could make use of data not only of herself, but also from other sources to constitute larger datasets, it...
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by Natalie Enright Jerger on Jun 2, 2021 | Tags: Accelerators, Emerging Technology, networks-on-chip
Twenty years ago research into networks-on-chip (NoCs) was launched with the publication of the foundational Dally and Towles paper, “Route Packets not Wires,” in the Design Automation Conference (DAC) in June 2001. In this blog post, I explore the evolution of...
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by Ananth Krishna Prasad and Mahdi Nazm Bojnordi on May 7, 2021 | Tags: Accelerators, Emerging Technology, Machine Learning, Optical
In a previous blog post, we summarized some advances in optical computing that enable the implementation of low-energy optical-convolutional layers using phase masks and angle-sensitive pixels. Such approaches also present multiple challenges, such as lack of...
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by Vijay Janapa Reddi, Greg Diamos, Pete Warden, Peter Mattson, David Kanter on Mar 4, 2021 | Tags: Accelerators, Data Engineering, Machine Learning
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...
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