Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...
Abstract: The self-tuning, low-overhead, scan-resistant adaptive replacement cache algorithm outperforms the least-recently-used algorithm by dynamically responding to changing access patterns and ...
Abstract: High-performance computing (HPC) systems need to handle ever-increasing data sizes for fast processing and quick response times. However, modern processors’ caches are unable to handle ...
As a scholar who spent decades using the Freedom of Information Act (FOIA) and archives studying Cold War CIA operations, it was with great interest that I watched yesterday’s US House Committee on ...
[🚨 Lecture Topic] This session covers the development of 'M Auto-Play Tester,' a proprietary automated performance testing tool built directly into the game package to overcome console platform ...
Professor Moinuddin Qureshi received the ACM SIGARCH/IEEE-CS TCCA Influential ISCA Paper Award at the International Symposium on Computer Architecture (ISCA 2026) on June 30. Presented annually, the ...
When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...
Powered by multiple dimensional co-design, deep optimization, and acceleration – from chips, servers, clusters, and AIDC, to software algorithms and scheduling platforms – this innovation empowers ...
This paper describes the algorithm, implementation, and deployment experience of CacheSack, the admission algorithm for Google datacenter flash caches. CacheSack minimizes the dominant costs of Google ...
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