high performance computing on graphics processing units: hgpu.org

Langshi Chen, Bo Peng, Bingjing Zhang, Tony Liu, Yiming Zou, Lei Jiang, Robert Henschel, Craig Stewart, Zhang Zhang, Emily Mccallum, Zahniser Tom, Omer Jon, Judy Qiu

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Tags: Benchmarking, big data, Computer science, Intel Xeon Phi, Java, Machine learning, MapReduce, MPI, Package, Performance

September 3, 2017 by hgpu

Integer sorting on multicores: some (experiments and) observations

Alexandros V. Gerbessiotis

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Tags: Algorithms, Computer science, CUDA, Intel Xeon Phi, nVidia, Performance, Sorting, Tesla K40

September 3, 2017 by hgpu

Real-Time Rendering of Molecular Dynamics Simulation Data: A Tutorial

N.Alharbi, M. Chavent, RS. Laramee

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Tags: Computer science, Image generation, Intel HD 6100, Molecular dynamics, OpenCL, OpenGL, Package, Rendering, Tutorial

September 3, 2017 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

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

BoltzGen:Toward Universal Binder Design

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

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

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

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

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

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high performance computing on graphics processing units: hgpu.org

Beyond 16GB: Out-of-Core Stencil Computations

Progressive Clustering of Big Data with GPU Acceleration and Visualization

Analysis of GPU accelerated OpenCL applications on the Intel HD 4600 GPU

Data Layout Oriented Compilation Techniques in Vectorization for Multi-/Many-cores

Generating Custom Code for Efficient Query Execution on Heterogeneous Processors

FLASH: Randomized Algorithms Accelerated over CPU-GPU for Ultra-High Dimensional Similarity Search

From MPI to MPI+OpenACC: Conversion of a legacy FORTRAN PCG solver for the spherical Laplace equation

Multi-Tasking Scheduling for Heterogeneous Systems

Accelerating recurrent neural network training using sequence bucketing and multi-GPU data parallelization

Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters

Integer sorting on multicores: some (experiments and) observations

Real-Time Rendering of Molecular Dynamics Simulation Data: A Tutorial

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

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

BoltzGen:Toward Universal Binder Design

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

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

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

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

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