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GPU-Mapping: Robotic Map Building with Graphical Multiprocessors

Diego Rodriguez-Losada, Pablo San Segundo, Miguel Hernando, Paloma de la Puente, Alberto Valero

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8400 M GS, nVidia GeForce GTX 280

October 29, 2013 by hgpu

First Evaluation of the CPU, GPGPU and MIC Architectures for Real Time Particle Tracking based on Hough Transform at the LHC

V. Halyo, P. LeGresley, P. Lujan, V. Karpusenko, A. Vladimirov

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Tags: Algorithms, Computational Physics, CUDA, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, nVidia, Physics, Tesla K20

October 29, 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

Molecular Simulations using CUDA

Gerhard Burger

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Tags: CUDA, Molecular dynamics, Molecular simulation, Monte Carlo simulation, nVidia, nVidia GeForce GT 520, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2075, Thesis

October 29, 2013 by hgpu

A Locality-Aware Memory Hierarchy for Energy-Efficient GPU Architectures

Minsoo Rhu, Michael Sullivan, Jingwen Leng, Mattan Erez

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Tags: Computer science, GPGPU-sim, Memory, Performance, Prefetch

October 29, 2013 by hgpu

Fast distributed phononic band-structure calculations through a GPU accelerated mixed-variational formulation

Ankit Srivastava

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, FDTD, Finite-difference time-domain, Materials Science, nVidia, nVidia Quadro K 2000

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

Dynamical simulations of extrasolar planetary systems with debris disks using a GPU accelerated N-body code

Alexander Moore

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Tags: Astrophysics, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Package, Thesis

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

Airborne Downward Looking Sparse Linear Array 3-D SAR Heterogeneous Parallel Simulation

Xueming Peng, Yanping Wang, Wen Hong, Weixian Tan, Yirong Wu

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Tags: Algorithms, CUDA, Heterogeneous systems, Image processing, Image reconstruction, nVidia, Sensing

October 27, 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

Applications

GPU-Mapping: Robotic Map Building with Graphical Multiprocessors

First Evaluation of the CPU, GPGPU and MIC Architectures for Real Time Particle Tracking based on Hough Transform at the LHC

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

Molecular Simulations using CUDA

A Locality-Aware Memory Hierarchy for Energy-Efficient GPU Architectures

Fast distributed phononic band-structure calculations through a GPU accelerated mixed-variational formulation

Computing finite models using free Boolean generators

Hybrid Parallel Light-Weight Programming of Hybrid Systems

Dynamical simulations of extrasolar planetary systems with debris disks using a GPU accelerated N-body code

MPI Parallelization of GPU-based Lattice Boltzmann Simulations

Airborne Downward Looking Sparse Linear Array 3-D SAR Heterogeneous Parallel Simulation

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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