Matmul Energy Efficiency Competition Challenges AlphaTensor Algorithm
yaroslavvb · x · 2026-08-31
A GitHub competition has launched optimizing matrix multiplication for energy efficiency, based on Bill Dally's 2D grid movement model rather than FLOPs.
Participants submit Intermediate Representation (IR) code scored on data movement costs. Leaderboards for 4x4 and 16x4 matrices track optimization progress, showing cost reductions from naive implementations to hierarchical caching strategies (e.g., 16x16 task cost dropped from 340k to 70k).
Core Rules:
- Algorithms must be symbolically verified for arbitrary inputs.
- Intermediates above degree two are rejected (bilinear algorithms only).
- Python API is provided for local verification and scoring.
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