6 papers
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…
Intentmaking and Sensemaking: Human Interaction with AI-Guided Mathematical Discovery
Alex Bäuerle, Adam Connors, Alexander Novikov +5
Artificial intelligence offers powerful new tools for scientific discovery, but the interaction paradigms required to effectively harness these systems remain underexplored. In thi…
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…
Magellan: Autonomous Discovery of Novel Compiler Optimization Heuristics with AlphaEvolve
Hongzheng Chen, Alexander Novikov, Ngân Vũ +5
Modern compilers rely on hand-crafted heuristics to guide optimization passes. These human-designed rules often struggle to adapt to the complexity of modern software and hardware…
AlphaEvolve: A coding agent for scientific and algorithmic discovery
Alexander Novikov, Ngân Vũ, Marvin Eisenberger +15
In this white paper, we present AlphaEvolve, an evolutionary coding agent that substantially enhances capabilities of state-of-the-art LLMs on highly challenging tasks such as tack…
Amplifying human performance in combinatorial competitive programming
Petar VeliÄkoviÄ, Alex Vitvitskyi, Larisa Markeeva +4
Recent years have seen a significant surge in complex AI systems for competitive programming, capable of performing at admirable levels against human competitors. While steady prog…