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NVIDIA CUDA Compiler
NVIDIA CUDA on IBM POWER8: Technical Overview, Software Installation, and Application Development
Hybrid Programming Using Openshmem and Openacc
Nvidia Cuda Toolkit V5.0
Applications Kernels
Improving Opencl Performance by Specializing Compiler Phase
A Compiler Optimization Framework for Directive-Based Gpu Computing
From CUDA to Openacc in Graph Processing Applications
Automatically Exploiting the Memory Hierarchy of Gpus Through Just-In-Time Compilation
Effective Extensible Programming: Unleashing Julia on Gpus
GPU-Accelerated Simulation of Massive Spatial Data Based on The
California State University, Northridge
Functional GPU Language Group DPW108F18 Christian Lundtofte Sørensen Henrik Djernes Thomsen
Exploiting Remote Memory Access for Automatic Multi-GPU Parallelization Javier Cabezas ∗§ Lluís Vilanova ∗§ Isaac Gelado Φ Thomas B
Assessing One-To-One Parallelism Levels Mapping for Openmp Offloading to Gpus
Release Notes for Windows, Linux, and Mac OS TABLE of CONTENTS
Automatic Parallelization for Heterogeneous Embedded Systems Rokiatou Diarra
C++ Compile Time Polymorphism for Ray Tracing
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