high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Overhauling SC atomics in C11 and OpenCL

John Wickerson

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Memory model, OpenCL

July 17, 2015 by hgpu

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

Luis Sant'Ana, Raphael Camargo, Daniel Cordeiro

View

Download (PDF)

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

Hetero-DB: Next Generation High-Performance Database Systems by Best Utilizing Heterogeneous Computing and Storage Resources

Kai Zhang, Feng Chen, Xiaoning Ding, Yin Huai, Rubao Lee, Tian Luo, Kaibo Wang, Yuan Yuan, Xiaodong Zhang

View

Download (PDF)

Tags: Computer science, CUDA, Data parallelism, Databases, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, OpenCL

July 6, 2015 by hgpu

Composability of parallel codes on heterogeneous architectures

Andra-Ecaterina Hugo

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Sparse direct solvers, Tesla M2070, Thesis

June 26, 2015 by hgpu

Ebb: A DSL for Physical Simluation on CPUs and GPUs

Gilbert Louis Bernstein, Chinmayee Shah, Crystal Lemire, Zachary DeVito, Matthew Fisher, Philip Levis, Pat Hanrahan

View

Download (PDF)

Tags: Computer science, CUDA, DSL, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan Black, OpenGL, Physics

June 26, 2015 by hgpu

Toward a Multi-level Parallel Framework on GPU Cluster with PetSC-CUDA for PDE-based Optical Flow Computation

S. Cuomo, A. Galletti, G. Giunta, L. Marcellino

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Differential equations, GPU cluster, Heterogeneous systems, nVidia, nVidia Quadro K5000, Optical flow, Partial differential equations, PDEs

June 24, 2015 by hgpu

Visualization of OpenCL Application Execution on CPU-GPU Systems

Amir Kavyan Ziabari, Rafael Ubal, Dana Schaa, David Kaeli

View

Download (PDF)

Tags: ARM, ATI, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Visualization

June 19, 2015 by hgpu

Exploring the Suitability of Remote GPGPU Virtualization for the OpenACC Programming Model Using rCUDA

Adrian Castello, Rafael Mayo, Enrique S. Quintana-Orti, Antonio J. Pena, Pavan Balaji

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Tesla C2050, Tesla K40, Virtualization

June 17, 2015 by hgpu

Falcon: A Graph Manipulation Language for Heterogeneous Systems

Unnikrishnan C, Y N Srikant, Rupesh Nasre

View

Download (PDF)

Tags: Compilers, Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, OpenMP, Tesla C2050, Tesla C2075, Tesla K20

June 16, 2015 by hgpu

A Pattern Specification and Optimizations Framework for Accelerating Scientific Computations on Heterogeneous Clusters

Linchuan Chen, Xin Huo, Gagan Agrawal

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Tesla M2070

June 10, 2015 by hgpu

Improving OpenCL Programmability with the Heterogeneous Programming Library

Moises Vinas, Basilio B. Fraguela, Zeki Bozkus, Diego Andrade

View

Download (PDF)

Source codes

Tags: Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Package, Tesla C2050

June 8, 2015 by hgpu

Exploring CPU-GPU Coherence

Gokul Subramanian, Urmish Thakker, Swapnil Haria, Rohit Shukla, Han Lin

View

Download (PDF)

Tags: ARM, ATI, Computer science, GPGPU-sim, Heterogeneous systems, HSA, OpenCL

June 8, 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

Overhauling SC atomics in C11 and OpenCL

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

Hetero-DB: Next Generation High-Performance Database Systems by Best Utilizing Heterogeneous Computing and Storage Resources

Composability of parallel codes on heterogeneous architectures

Ebb: A DSL for Physical Simluation on CPUs and GPUs

Toward a Multi-level Parallel Framework on GPU Cluster with PetSC-CUDA for PDE-based Optical Flow Computation

Visualization of OpenCL Application Execution on CPU-GPU Systems

Exploring the Suitability of Remote GPGPU Virtualization for the OpenACC Programming Model Using rCUDA

Falcon: A Graph Manipulation Language for Heterogeneous Systems

A Pattern Specification and Optimizations Framework for Accelerating Scientific Computations on Heterogeneous Clusters

Improving OpenCL Programmability with the Heterogeneous Programming Library

Exploring CPU-GPU Coherence

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)