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hgpu.org » Hardware Architecture

A Predictive Shutdown Technique for GPU Shader Processors

Po-Han Wang, Yen-Ming Chen, Chia-Lin Yang, Yu-Jung Cheng

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March 10, 2011 by hgpu

Architecting graphics processors for non-graphics compute acceleration

Tor M. Aamodt
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February 20, 2011 by hgpu

Design Space Exploration for GPU-Based Architecture

Zhenyu Ye
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February 20, 2011 by hgpu

Increasing Memory Miss Tolerance for SIMD Cores

David Tarjan, Jiayuan Meng and Kevin Skadron
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February 12, 2011 by hgpu

On testing GPU memory for hard and soft errors

Guochun Shi, Jeremy Enos, Michael Showerman, Volodymyr Kindratenko
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February 3, 2011 by hgpu

3D GPU Architecture using Cache Stacking: Performance, Cost, Power and Thermal analysis

Ahmed Al Maashri, Guangyu Sun, Xiangyu Dong, Vijay Narayanan and Yuan Xie
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February 3, 2011 by hgpu

Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

Imran S. Haque, Vijay S. Pande
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November 9, 2010 by hgpu

Recent source codes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation
Introduction to Computer Vision

Introduction to Computer Vision

Introduction to Computer Vision
ACT: Accelerator Compiler Toolkit

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions
pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation
Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures
AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines
nvsass-disassembler

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression
PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving
EinsummableV3 - graph-based computation with tensor operations support

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable
MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs
See all packages

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