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hgpu.org » nVidia Quadro K5200

A Comparison of GPU Execution Time Prediction using Machine Learning and Analytical Modeling

Marcos Amaris, Raphael Y. de Camargo, Mohamed Dyab, Alfredo Goldman, Denis Trystram
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December 6, 2016 by hgpu

Exposing Errors Related to Weak Memory in GPU Applications

Tyler Sorensen, Alastair F. Donaldson
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May 3, 2016 by hgpu

Automatic test case reduction of randomly generated OpenCL kernels

Moritz Pflanzer
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April 6, 2016 by hgpu

SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures

Alexandros Koliousis, Matthias Weidlich, Raul Castro Fernandez, Alexander L. Wolf, Paolo Costa, Peter Pietzuch
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February 16, 2016 by hgpu

Recent source codes

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks
OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing
Specx: Speculative task-based runtime system

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures
Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems
KISim: Kubernetes Intelligent Scheduling Simulator

KISim: Kubernetes Intelligent Scheduling Simulator

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling
Efficient GPU Implementation of Multi-Precision Integer Division

Efficient GPU Implementation of Multi-Precision Integer Division

Efficient GPU Implementation of Multi-Precision Integer Division
ParEval: A Parallel Code Evaluation Benchmark

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks
FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication
exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing
See all packages

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