4186
hgpu.org » RV870

A Micro-benchmark Suite for AMD GPUs

Ryan Taylor, Xiaoming Li
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May 30, 2011 by hgpu

Fast calculation of computer-generated-hologram on AMD HD5000 series GPU and OpenCL

Tomoyoshi Shimobaba, Tomoyoshi Ito, Nobuyuki Masuda, Yasuyuki Ichihashi, Naoki Takada
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November 12, 2010 by hgpu

Accelerating MATLAB Image Processing Toolbox functions on GPUs

Jingfei Kong, Martin Dimitrov, Yi Yang, Janaka Liyanage, Lin Cao, Jacob Staples, Mike Mantor, Huiyang Zhou
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November 5, 2010 by hgpu

Recent source codes

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation
Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs
BoltzGen:Toward Universal Binder Design

BoltzGen:Toward Universal Binder Design

BoltzGen:Toward Universal Binder Design
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution
MATLAB Tensor Core models

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores
TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization
RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters
tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection
hls4ml: Machine learning on FPGAs using HLS

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware
See all packages

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