high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Free Launch: Optimizing GPU Dynamic Kernel Launches through Thread Reuse

Guoyang Chen, Xipeng Shen

View

Download (PDF)

Tags: Compilers, Computer science, CUDA, nVidia, Tesla K20, Tesla K40

November 8, 2015 by hgpu

Data Stream Classification using Random Feature Functions and Novel Method Combinations

Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro

View

Download (PDF)

Tags: Computer science, CUDA, Deep learning, Nearest neighbour, Neural networks, nVidia, Tesla K40

November 8, 2015 by hgpu

Deep Learning for Computer Vision: A comparison between Convolutional Neural Networks and Hierarchical Temporal Memories on object recognition tasks

Vincenzo Lomonaco

View

Download (PDF)

Tags: Artificial intelligence, Computer science, Computer vision, CUDA, Deep learning, Machine learning, Neural networks, nVidia, Pattern recognition, Tesla C2075, Thesis

November 8, 2015 by hgpu

High Level Synthesis and Evaluation of the Secure Hash Standard for FPGAs

Ian Spencer Janik

View

Download (PDF)

Tags: Algorithms, Computer science, FPGA, OpenCL, Security, Thesis

November 8, 2015 by hgpu

Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format

Joseph L. Greathouse, Mayank Daga

View

Download (PDF)

Tags: Algorithms, AMD FirePro W9100, ATI, Computer science, Linear Algebra, OpenCL, Sparse matrix

November 4, 2015 by hgpu

Performance of GTX Titan X GPUs and Code Optimization

Hwancheol Jeong, Sangbaek Lee, Weonjong Lee, Jeonghwan Pak, Jangho Kim, Juhyun Chung

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX Titan X, Performance

November 4, 2015 by hgpu

Exact diagonalization of quantum lattice models on coprocessors

Topi Siro, Ari Harju

View

Download (PDF)

Tags: Condensed matter, CUDA, Intel Xeon Phi, Mathematical Software, nVidia, OpenMP, Physics, Tesla K40

November 4, 2015 by hgpu

Heterogeneous CPU/(GP) GPU Memory Hierarchy Analysis and Optimization

Josue Vladimir Quiroga Esparza

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Memory, nVidia, Thesis

November 4, 2015 by hgpu

Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices

Mayank Daga, Joseph L. Greathouse

View

Download (PDF)

Source codes

Tags: Algorithms, AMD FirePro W9100, APU, ATI, Computer science, Linear Algebra, OpenCL, Package, Sparse matrix

November 3, 2015 by hgpu

Software Defined Radio over CUDA

Marco Ribero

View

Download (PDF)

Tags: CUDA, nVidia, nVidia GeForce GT 540 M, Signal processing, Thesis

November 3, 2015 by hgpu

On the programmability of multi-GPU computing systems

Javier Cabezas Rodriguez

View

Download (PDF)

Tags: Computer science, CUDA, MPI, nVidia, Performance, Tesla C1060, Tesla K20, Tesla K40, Thesis

November 3, 2015 by hgpu

Exploring Optimisations for the Local Assembly phase of Finite Element Methods on GPUs

Hector Dearman

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, Differential equations, FEM, Finite element method, nVidia, nVidia GRID K520, OpenCL, Partial differential equations, PDEs, Thesis

November 3, 2015 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

* * *

high performance computing on graphics processing units: hgpu.org

Programming

Free Launch: Optimizing GPU Dynamic Kernel Launches through Thread Reuse

Data Stream Classification using Random Feature Functions and Novel Method Combinations

Deep Learning for Computer Vision: A comparison between Convolutional Neural Networks and Hierarchical Temporal Memories on object recognition tasks

High Level Synthesis and Evaluation of the Secure Hash Standard for FPGAs

Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format

Performance of GTX Titan X GPUs and Code Optimization

Exact diagonalization of quantum lattice models on coprocessors

Heterogeneous CPU/(GP) GPU Memory Hierarchy Analysis and Optimization

Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices

Software Defined Radio over CUDA

On the programmability of multi-GPU computing systems

Exploring Optimisations for the Local Assembly phase of Finite Element Methods on 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

Most viewed papers (last 30 days)