8 citations · 15 across the 16 of their papers we have counts for
5 papers · 1 filter
Presage: Prefetch Search via Agent-Guided Experiments
Matthew Giordano, Parthasarathy Ranganathan, Baris Kasikci +1
Data prefetching is an established technique to mitigate cache miss latency and keep the processor saturated with data. Software exists in a unique position to issue prefetches, ha…
Themis: Software-Defined Hardware Prefetching
Keisuke Kamahori, Neil Adit, Kan Zhu +13
Data cache misses represent a significant portion of stall cycles in datacenter workloads. Hardware prefetchers that reduce such stalls by fetching data ahead of time have become i…
Silent Data Corruption by 10x Test Escapes Threatens Reliable Computing
Subhasish Mitra, Subho Banerjee, Martin Dixon +5
Too many defective compute chips are escaping existing manufacturing tests -- at least an order of magnitude more than industrial targets across all compute chip types in data cent…
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion
Arash Nasr-Esfahany, Mohammad Alizadeh, Victor Lee +9
Cycle-level simulators such as gem5 are widely used in microarchitecture design, but they are prohibitively slow for large-scale design space explorations. We present Concorde, a n…
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends
Ian Schneider, Hui Xu, Stephan Benecke +4
Specialized hardware accelerators aid the rapid advancement of artificial intelligence (AI), and their efficiency impacts AI's environmental sustainability. This study presents the…