by Srilantha (Bobbie) Manne, Carole-Jean Wu, Parthasarathy (Partha) Ranganathan, Sarah Bird, Shane Greenstein on Aug 18, 2021 | Tags: Datacenters, Edge Devices, Emerging Technology, Environment, Inclusion, Societal Impact, Sustainability
Digital technologies have had an undeniable influence on humanity’s well-being, transforming all aspects of our lives. Underpinned by advances in process technology, computer architecture, software engineering, and artificial intelligence (AI), the rapid technological...
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by Tim Rogers and Mahmoud Khairy on Aug 10, 2021 | Tags: Accelerators, Benchmarks, Machine Learning, Systems
At its core, all engineering is science optimized (or perverted) by economics. As academics in computer science and engineering, we have a symbiotic relationship with industry. Still, it is often necessary for us to peel back the marketing noise and understand...
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by Lisa Hsu on Aug 5, 2021 | As architects, we have heard the drumbeat about the impending end of Moore’s Law for at least a few decades, and in more recent years, the end of Dennard scaling. It is this latter phenomenon that has been extremely impactful to the power consumption of the...
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by Christos Kozyrakis and Emery Berger on Jul 30, 2021 | Tags: ASPLOS, Conferences, extended abstract, program committees, Review, Reviewing
Background When we started planning the ASPLOS’21 program committee in Spring 2020, we asked ourselves what we could do to make the review process better for everyone. In our opinion, the most impactful improvement would be to increase the signal available for each...
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by Jayashree Mohan and Vijay Chidambaram on Jul 14, 2021 | Tags: Machine Learning, Storage
Machine Learning (ML), specifically Deep Neural Networks (DNNs), is stressing storage systems in new ways, moving the training bottleneck to the data ingestion phase, rather than the actual learning phase. Training these models is data-hungry, resource-intensive, and...
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by Yuhao Zhu on Jul 6, 2021 | Tags: Accelerators, deep learning, gpu, ray tracing, rendering
In Part I of this mini-series, we looked at recent advances in hardware support for ray tracing and how we might ride this wave to think more broadly about general-purpose irregular computing. Part II looks at another rising trend in graphics, i.e., the confluence of...
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by Yuhao Zhu on Jul 1, 2021 | Tags: Accelerators, gpu, graphics, ray tracing, rendering
Introduction Computer graphics exemplifies hardware-software co-design. Since its inception, rendering algorithms have been developed hand in hand with hardware architecture. Graphics is only becoming more important with the rise of new visual applications such as...
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by Adrian Sampson on Jun 29, 2021 | Tags: Accelerators, Programmability, Programming Languages
We need to make it easier to design custom, application-specific hardware accelerators. The potential efficiency gains are enormous, and the cost of deploying accelerators is falling rapidly with the widespread availability of FPGA cards and the increasing...
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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 Dmitry Ponomarev on Jun 23, 2021 | Tags: Conference, Security
Hardware and architecture security remained a hot research topic in the first half of 2021, with new contributions appearing in architecture, security and systems conferences. Some of these 2021 papers were overviewed in our earlier blog post, here we focus on more...
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