high performance computing on graphics processing units: hgpu.org

Jorge Frances Monllor, Sergio Bleda Perez, Andres Marquez Ruiz, Cristian Neipp Lopez, Sergi Gallego Rico, Beatriz Otero Calvino, Augusto Belendez Vazquez

View

Download (PDF)

Tags: CUDA, FDTD, Finite-difference time-domain, Fluid dynamics, nVidia, nVidia GeForce GTX 470, Programming techniques

September 15, 2013 by hgpu

A Bi-objective Optimization Framework for Query Plans

P. Przymus, K. Kaczmarski, K. Stencel

View

Download (PDF)

Tags: Heterogeneous systems, Performance, Programming techniques

September 7, 2013 by hgpu

* * *

Evaluation of Rust for GPGPU high performance computing

Evaluation of Rust for GPGPU high-performance computing

SCAMP: CPU/GPU Implementation of the SCAMP algorithm for computing the matrix profile

Optimization of massive data applications on heterogeneous architectures

A Symbolic Emulator for Shuffle Synthesis on the NVIDIA PTX Code

FDAS: Fourier Domain Acceleration Search, FPGA-accelerated with OpenCL

Pulsar search acceleration using FPGAs and OpenCL templates

Implementation of a motion estimation algorithm for Intel FPGAs using OpenCL

Reeber: a library for shared- and distributed-memory parallel computation of merge trees

Fast Merge Tree Computation via SYCL

pocl: Portable Computing Language

Efficient OpenCL system integration of non-blocking FPGA accelerators

OneFlow: a deep learning framework designed to be user-friendly, scalable and efficient

AutoDDL: Automatic Distributed Deep Learning with Asymptotically Optimal Communication

Python Suite for Advanced General Ensemble Simulations

PySAGES: flexible, advanced sampling methods accelerated with GPUs

GPU load-balancing library for regular and irregular computations

A Programming Model for GPU Load Balancing

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

A Tool for Interactive Parallelization

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

KernelInterceptor: automating GPU kernel verification by intercepting kernels and their parameters

Performance-aware component composition for GPU-based systems

Dynamic Instrumentation and Optimization for GPU Applications

Implementation of Just In Time Value Specialization for the Optimization of Data Parallel Kernels

GPU-Based Acceleration on ACEnet for FDTD Method of Electromagnetic Field Analysis

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both?

Specification and verification of GPGPU programs

Performance analysis of SSE instructions in multi-core CPUs and GPU computing on FDTD scheme for solid and fluid vibration problems