3 papers
cs.AI2026
Playing Psychic: Using Thought Trees to Predict Reasoning Models Accuracy on Coding Tasks
Jiaxin Fang, Runyuan He, Sahil Bhatia +2
Recent advances in large language models (LLMs) have shown that test-time scaling can substantially improve model performance on complex tasks, particularly in the coding domain. U…
cs.PL2025
Autocomp: A Powerful and Portable Code Optimizer for Tensor Accelerators
Charles Hong, Sahil Bhatia, Alvin Cheung +1
Hardware accelerators, especially those designed for tensor processing, have become ubiquitous in today's computing landscape. However, even with significant efforts in building co…
cs.PL2024
Tenspiler: A Verified Lifting-Based Compiler for Tensor Operations (Extended Version)
Jie Qiu, Colin Cai, Sahil Bhatia +3
Tensor processing infrastructures such as deep learning frameworks and specialized hardware accelerators have revolutionized how computationally intensive code from domains such as…