by Shuwen Deng on Mar 26, 2025 | Tags: Conferences
The 31st IEEE International Symposium on High-Performance Computer Architecture (HPCA’25) was held from March 1 to 5, 2025 in Las Vegas, USA. Co-located with PPoPP, CGO, and CC as part of the “Parallel Programming, Architecture and Compilation (PARC)” event, HPCA’25...
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by David Patterson on Mar 5, 2025 | Tags: AI accelerator, AI hardware, Carbon emissions, Carbon footprint, Data center
“It’s not that easy bein’ green.” – Kermit the Frog, 1976 We likely just published the first paper to report the carbon footprint of manufacturing AI accelerators. This life-cycle assessment in a real-world setting found that hardware operation emits more...
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by Yao Fu, Luo Mai and Dmitrii Ustiugov on Feb 28, 2025 | Tags: Cloud computing, generative ai, machine learning systems, serverless ai, serverless computing
Artificial Intelligence (AI) is revolutionizing the world, powering productivity tools, healthcare, and education innovations through large-scale models like ChatGPT, DeepSeek, Gemini, and Claude. Most of these models, managed by tech giants such as OpenAI, Google,...
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by Amir Yazdanbakhsh on Feb 4, 2025 | Tags: abstraction, AGI, compound AI systems, Computer Architecture, Computer Systems, intelligent systems, Machine Learning, Uncertainty
“The growing complexity of intelligent systems can outpace the ability of conventional computing abstractions to support them effectively.” IET REACH 2024, Amir Yazdanbakhsh. I came across this observation by Edsger Dijkstra recently while scrolling X, and...
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by Akanksha Atrey, Sercan Aygun, Udit Gupta, Abdulrahman Mahmoud, Lillian Pentecost, Vijay Janapa Reddi on Jan 28, 2025 | Introduction The increasing complexity of machine learning systems demands a new approach to their design, optimization, and deployment. While tremendous progress has been made in ML algorithms and hardware acceleration, building reliable, efficient, and scalable ML...
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by Geraldo Oliveira, Juan Gómez-Luna, Onur Mutlu on Jan 22, 2025 | Tags: Emerging Technology, Memory, Processing-in-Memory
Processing-in-Memory (PIM) is a computing paradigm that aims to overcome the data movement bottleneck (i.e., wasted execution cycles and energy, resulting from the back-and-forth data movement between memory units and compute units) by making memory (and storage)...
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by Shvetank Prakash and Vijay Janapa Reddi on Jan 7, 2025 | Tags: AI Agents, Benchmarks, Datasets, Machine Learning
Introduction The rise of large language models (LLMs) and generative artificial intelligence (GenAI) presents new opportunities to build innovative tools and is already enabling revolutionary AI-based tools in various domains. However, a significant gap remains in the...
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by Irene Wang on Dec 23, 2024 | Tags: Conference, Mentoring, uarch, Workshop
The Undergraduate Architecture Mentoring (uArch) Workshop co-located with the International Symposium on Microarchitecture (MICRO) was hosted in Austin, Texas. This year marked a significant milestone, as uArch was held twice in the same calendar year – reflecting our...
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by Biswabandan Panda on Dec 11, 2024 | Tags: caches, Security
This blog post is a continuation of Gururaj’s SIGARCH blog, written three years ago. It revisits the design of secure caches and, primarily, two design choices available to the designers: partitioned cache and randomized cache. In the last three years,...
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by Minesh Patel on Nov 22, 2024 | Tags: Conferences
Research-hungry, knowledge-thirsty citizens of Planet Earth swarmed Austin this November for a Texas-sized MICRO that sold out, surpassing all expectations. Hallways were packed and lines were long as General Chairs Paul Gratz, Jose Joao, and Jason Clemons showed us...
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