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Performance analysis of GPGPU and CPU On AES Encryption

Akash Kiran Neelap

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro K4000, Pthreads, Security, Thesis

July 15, 2015 by hgpu

Automatic Optimization of Thread Mapping for a GPGPU Programming Framework

Kazuhiko Ohno, Tomoharu Kamiya, Takanori Maruyama, Masaki Matsumoto

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Tags: Benchmarking, Compilers, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 980

July 15, 2015 by hgpu

GPU-accelerated discontinuous Galerkin methods on hybrid meshes

Jesse Chan, Zheng Wang, Axel Modave, Jean-Francois Remacle, T. Warburton

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Tags: CUDA, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 980, OpenCL, OpenMP, Spectral elements, Wave equation

July 13, 2015 by hgpu

A Study of Data Partitioning on OpenCL-based FPGAs

Zeke Wang, Bingsheng He, Wei Zhang

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Tags: Computer science, Databases, FPGA, OpenCL

July 13, 2015 by hgpu

Optimization, Specification and Verification of the Prefix Sum Program in an OpenCL Environment

Thijs Wiefferink

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 770, OpenCL, Package

July 13, 2015 by hgpu

PLB-HeC: A Profile-based Load-Balancing algorithm for Heterogeneous CPU-GPU Clusters

Luis Sant'Ana, Raphael Camargo, Daniel Cordeiro

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Tesla K20

July 13, 2015 by hgpu

Characterizing and Optimizing Irregular Applications on Graphics Processing Units

Tao Zhang

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance, Thesis

July 10, 2015 by hgpu

Contributions to Music Semantic Analysis and Its Acceleration Techniques

Boyang Gao

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Tags: Acoustics, Algorithms, Computer science, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Thesis

July 10, 2015 by hgpu

Many-Core Compiler Fuzzing

Christopher Lidbury, Andrei Lascu, Nathan Chong, Alastair F. Donaldson

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Tags: ATI, ATI Radeon HD 6570, ATI Radeon HD 7970, Compilers, Computer science, FPGA, Intel HD 4600, Intel Xeon Phi, nVidia, nVidia GeForce GTX 770, nVidia GeForce GTX Titan, OpenCL, Tesla K40, Tesla M2050

July 10, 2015 by hgpu

Towards Good Practices for Very Deep Two-Stream ConvNets

Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, MPI, nVidia, OpenMPI, Package

July 10, 2015 by hgpu

Multiple String Matching on a GPU using CUDAs

Charalampos S. Kouzinopoulos, Panagiotis D. Michailidis, Konstantinos G. Margaritis

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Tags: Algorithms, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, String matching

July 10, 2015 by hgpu

Experiments on Parallel Training of Deep Neural Network using Model Averaging

Hang Su, Haoyu Chen

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Tags: Computer science, CUDA, Deep learning, MPI, Neural networks, nVidia, Tesla K20

July 8, 2015 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

Programming

Performance analysis of GPGPU and CPU On AES Encryption

Automatic Optimization of Thread Mapping for a GPGPU Programming Framework

GPU-accelerated discontinuous Galerkin methods on hybrid meshes

A Study of Data Partitioning on OpenCL-based FPGAs

Optimization, Specification and Verification of the Prefix Sum Program in an OpenCL Environment

PLB-HeC: A Profile-based Load-Balancing algorithm for Heterogeneous CPU-GPU Clusters

Characterizing and Optimizing Irregular Applications on Graphics Processing Units

Contributions to Music Semantic Analysis and Its Acceleration Techniques

Many-Core Compiler Fuzzing

Towards Good Practices for Very Deep Two-Stream ConvNets

Multiple String Matching on a GPU using CUDAs

Experiments on Parallel Training of Deep Neural Network using Model Averaging

Recent source codes

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

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