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Optimization of real-time ultrasound PCIe data streaming and OpenCL processing for SAFT imaging

M. Walczak, M. Lewandowski, N. Zolek

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Tags: FPGA, Image processing, Image reconstruction, nVidia, nVidia Quadro K5000, OpenCL, Ultrasound

November 10, 2013 by hgpu

Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code

R. F. Bird, S. J. Pennycook, S. A. Wright, S. A. Jarvis

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Tags: Algorithms, Computer science, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla C1060, Tesla C2050, Tesla K20

November 10, 2013 by hgpu

Moving Least-Squares Reconstruction of Large Models with GPUs

Bruce Merry, James Gain, Patrick Marais

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2070

November 8, 2013 by hgpu

Computer Graphics: From Pixels to Programmable Graphics Hardware

Alexey Boreskov, Evgeniy Shikin

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Tags: 3D Graphics and Realism, Algorithms, Book, Computer science, CUDA, Games, nVidia, OpenCL, OpenGL, Overview, Real-time graphics, Rendering, Tessellation, Tutorial

November 6, 2013 by hgpu

Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems

Uri Verner, Avi Mendelson, Assaf Schuster

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Tags: Computer science, CUDA, nVidia, OpenCL, Performance, Task scheduling, Tesla C2050, Tesla K10

November 4, 2013 by hgpu

Analysis of Parallel Sorting Algorithms on Heterogeneous Processors with OpenCL

Anshu Raina

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, OpenCL, Sorting, Tesla M2090, Thesis

October 30, 2013 by hgpu

Extension of the SkePU Skeleton Programming Framework for Multi-core CPU and Multi-GPU Systems for MPI-based Clusters

Swadhin K. Mangaraj

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Tags: Computer science, CUDA, GPU cluster, High-level Languages, MPI, nVidia, OpenCL, Thesis

October 29, 2013 by hgpu

High-performance Dynamic Programming on FPGAs with OpenCL

Sean O. Settle

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Tags: Bioinformatics, Computer science, FPGA, Heterogeneous systems, OpenCL, RNA, Smith-Waterman algorithm

October 29, 2013 by hgpu

Computing finite models using free Boolean generators

Zarko Mijajlovic, Aleksandar Pejovic

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Source codes

Tags: Computer science, Logic in Computer Science, OpenCL, Package, PyOpenCL

October 29, 2013 by hgpu

Hybrid Parallel Light-Weight Programming of Hybrid Systems

Frank Feinbube, Jan-Arne Sobania, Peter Troger, Andreas Polze

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Tags: Computer science, Hybrid computing, nVidia, nVidia GeForce GTX 460, OpenCL

October 27, 2013 by hgpu

MPI Parallelization of GPU-based Lattice Boltzmann Simulations

Arash Bakhtiari

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Tags: Fluid dynamics, GPU cluster, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, OpenCL, Tesla M2090, Thesis

October 27, 2013 by hgpu

Online Performance Projection for Clusters with Heterogeneous GPUs

Lokendra S. Panwar, Ashwin M. Aji, Jiayuan Mengz, Pavan Balajiy, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Computer science, GPGPU-sim, GPU cluster, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C1060, Tesla C2050

October 25, 2013 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Optimization of real-time ultrasound PCIe data streaming and OpenCL processing for SAFT imaging

Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code

Moving Least-Squares Reconstruction of Large Models with GPUs

Computer Graphics: From Pixels to Programmable Graphics Hardware

Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems

Analysis of Parallel Sorting Algorithms on Heterogeneous Processors with OpenCL

Extension of the SkePU Skeleton Programming Framework for Multi-core CPU and Multi-GPU Systems for MPI-based Clusters

High-performance Dynamic Programming on FPGAs with OpenCL

Computing finite models using free Boolean generators

Hybrid Parallel Light-Weight Programming of Hybrid Systems

MPI Parallelization of GPU-based Lattice Boltzmann Simulations

Online Performance Projection for Clusters with Heterogeneous GPUs

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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