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Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using F_2
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Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context
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PASTA: A Modular Program Analysis Tool Framework for Accelerators
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Proton: Towards Multi-level, Adaptive Profiling for Triton
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Mercury: Unlocking Multi-GPU Operator Optimization for LLMs via Remote Memory Scheduling
Remote memory scheduling framework that optimizes LLM operators across multi-GPU deployments.
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Comprehensive Evaluation of LLMs in HPC Code Performance Optimization
Benchmarks and evaluates large language models for optimizing high-performance computing code.
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KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads
An open, compiler-focused infrastructure for profiling and optimizing GPU kernels on AI workloads.
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DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads
Performance profiling toolkit that unifies deep learning workload analysis across platforms and frameworks.
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Triton-Viz: Visualizing GPU Programming in AI Courses
GPU programming is a critical component in AI system courses, which is notoriously difficult to learn and teach, given its unique …
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SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform
Tensor multiplication with learned weight matrices is the fundamental building block in deep learning models. These matrices can often …
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