32 citations · 89 across the 19 of their papers we have counts for
4 papers · 1 filter
Improving the matrix multiplication exponent with modern optimization and AlphaEvolve
Emilien Dupont, Marvin Eisenberger, Borislav Kozlovskii +7
The current best bounds on the matrix multiplication exponent are obtained through a refinement of the laser method called combination loss analysis (Duan et al., 2022; William…
ArchAgent v2: A Case Study with the Data Prefetching Championship
Abraham Gonzalez, Raghav Gupta, Akanksha Jain +12
Agentic artificial intelligence has shown great promise in automating algorithm design, but scaling similar techniques to computer microarchitecture discovery remains challenging d…
Graph Neural Networks Are Not Continuous Across Graph Resolutions
Christian Koke, Yuesong Shen, Abhishek Saroha +4
We show that contrary to conventional wisdom in the community, graph neural networks (GNNs) are not continuous with respect to all natural modes of graph convergence. As a result,…
ArchAgent: Agentic AI-driven Computer Architecture Discovery
Raghav Gupta, Akanksha Jain, Abraham Gonzalez +10
Agile hardware design flows are a critically needed force multiplier to meet the exploding demand for compute. Recently, agentic generative AI systems have demonstrated significant…