by Phillip Stanley-Marbell on Oct 19, 2021 | Tags: Accelerators, Approximate Computing, Numerical Format, Sensors, Uncertainty
In Part 1 of this two-part post, I looked at some of the existing and possible avenues for computer architecture research relating to tracking uncertainty in computations, using the blackscholes benchmark from the PARSEC suite of computer architecture research benchmark applications as a working example. In this post, I’ll outline some existing and possible future paths for computer architects in computation with uncertainty. Just as architectural support and microarchitectural implementations of floating-point number representations improved the ease of implementation of real-valued computations, architectural and microarchitectural support for representations of uncertainty could enable new approaches to trustworthy computation on empirical data.
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by Elba Garza on Oct 15, 2021 | Tags: Academia, CASA, Mentoring, Students
With MICRO upon us, I would like to take time to reflect on the events running up to the establishment of CASA, or the Computer Architecture Student Association. This month we will be celebrating our first anniversary as an active organization! We at CASA, feel we...
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by Caroline Trippel on Sep 27, 2021 | Tags: formal methods, program synthesis, Security
This blog post samples a growing body of research which leverages formal methods techniques to solve computer architecture challenges. While certainly not exhaustive, it is meant to serve as a starting point for further reading and brainstorming. Constructing Formal...
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by Sergey Blagodurov, Mike Ignatowski, Valentina Salapura on Sep 22, 2021 | Tags: Accelerators, Coherence, Datacenters, Interconnects, Memory, Networking, Systems
Despite being hidden from the end user, datacenters are ubiquitous in today’s life. Massive datacenter installations are the driving force behind social networking, search, streaming services, e-commerce, cloud, and the gig economy. Today’s datacenters are as...
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by Simla Burcu Harma, Mario Drumond, Babak Falsafi on Sep 20, 2021 | Tags: Accelerators, Machine Learning, Numerical Format, Tools
DNN training is emerging as a popular compute-intensive workload. This blog post provides an overview of the recent research on numerical encoding formats for DNN training, and presents the Hybrid Block Floating-Point (HBFP) format which reduces silicon provisioning...
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by Gururaj Saileshwar on Sep 15, 2021 | Tags: Cache, Computer Architecture, Randomization, Security
There is a battle ongoing in the realm of secure caches. Cache side-channels are a serious security problem as they allow an attacker to monitor a victim program’s execution and leak sensitive data like encryption keys, confidential IP, etc. A potent class of such...
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by Minsoo Rhu on Sep 9, 2021 | Tags: Datacenters, Emerging Technology, Interconnects, Memory, Memory Disaggregation, Processing-in-Memory
The Memory (Bandwidth and Capacity) Wall The “memory wall” problem, originally coined by Wulf and McKee in the 1990s, pointed out that the rate of improvement in microprocessor performance far exceeds the rate of improvement in DRAM memory speed. Such trend rendered...
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by Jonathan Baker and Fred Chong on Aug 31, 2021 | Tags: Quantum Computing
Despite quantum computing (QC) being an emerging technology, it is critical to consider new emerging technologies for this paradigm. Current machines, constructed from superconducting transmons or trapped ions, have demonstrated impressive success recently but it is...
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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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