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Introduction to NVIDIA-PGI Complier Directives - OpenACC
on GPUs; CUDA enabled NVIDIA GPUs
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Performance of Matrix Computations - NVIDIA-PGI Complier Directives
OpenACC on GPUs; CUDA enabled NVIDIA GPUs
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Performance of Application Kernels - NVIDIA-PGI Complier Directives
OpenACC on GPUs; CUDA enabled NVIDIA GPUs
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Simple example programs on Multi-Core Processors with NVIDIA - GPU Computing CUDA 4.1 SDK.
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Write programs based on the AMD APP Software Development Kit (SDK) based on OpenCL (Open
Computing Language)
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Performance of selective programs on Multi-Core Processors with NVIDIA - GPU
Computing CUDA SDK and AMD-APP Tech. SDK based on OpenCL.
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Special example programs using CUDA Tool Chain on Multi-Core
Processors with NVIDIA - GPU Computing CUDA SDK (CULA Tools, CUBLAS, CUFFT, CUSPARSE)
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Special example programs on matrix computations using Concurrent Asynchronous Execution
APIs of CUDA 4.1 enabled NVIDIA GPUs (single/Multiple devices).
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Special example programs based on Streams (Concurrent Asynchronous Execution) of CUDA 4.1 of NVIDIA GPU
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LLVM-based CUDA complier and toolkit technologies
for matrix computation and application kernels;
GPU Accelerator Programming Model - Compiler Optimizations
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Expousre to NVIDIA Parallel Nsight tool kit.
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Codes to understand different memory types of
CUDA enabled NVIDIA GPUs for matrix computations.
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Example programs based on Numerical Linear Algebra using CUDA enabled NVIDIA
GPUS and AMD-APP OpenCL.
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Example programs (BLAS, FFTs) based on AMD Accelerated Parallel Processing Math Libraries (APPML)
using OpenCL.
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Example programs based on special class of problems- Dense &. Sparse Matrix Computations,
Fast Search Algorithms, & Partial Differential Eqs.(PDEs) will be discussed using
CUDA enabled NVIDIA GPUs & AMD-APP OpenCL of HPC GPU Cluster.
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Example programs on Heterogeneous Programming - OpenCL based on CUDA enabled NVIDIA GPUs
and AMD-APP GPUs.
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Code Walk through and execution of parallel programs based on mixed
programming environment using using TBB, Pthreads, OpenMP on host Multi-Core systems with
GPU Accelerator devices.
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Selective example programs on numerical and non-numerical computations
using NVIDIA - GPU Computing CUDA SDK and AMD - APP SDK OpenCL.
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Application & System Benchmarks related to HPC GPU Cluster based on
CUDA/OpenCL NVIDIA & OpenCL AMD-APP programming paradigms.
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Example programs based on The OpenACC Application Program Interface (a collection
of compiler directives and the details are implicit in the programming model and
are managed by the OpenACC API-enabled compilers and runtimes) for matrix
computations on NVIDIA GPUs.
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Example programs based on AMD APP - Aparapi Data Parallel workloads in Java
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Example programs based on CUDA APIs
to completely overlap CPU and GPU execution and I/O in HPC GPU Cluster environment.
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Performance of memory (pinned/locked) & CUDA shared memory usage on CUDA enabled GPUs for application
kernels.
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Develop test suites to launch multiple kernels on CUDA enabled NVIDIA single & multiple GPU devices.
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Programming exercises
for Numerical Computations based on CUDA/OpenCL enabled NVIDIA, & AMD-APP OpenCL Programming
for Matrix Computations (Dense & Sparse Matrices Computations)
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Implementation of Image Processing applications (Edge Detection, Face Detection &
Image inpainting algorithms) on GPGPUs using
CUDA/OpenCL enabled NVIDIA GPUs and OpenCL AMD-APP GPUs of HPC GPU Cluster
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Implementation of String Search Algorithms -
CUDA/OpenCL enabled NVIDIA GPUs and OpenCL AMD-APP GPUs of HPC GPU Cluster
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Solution of Partial Differential Equations (Poisson Equation in two dimensional
& three dimensional regions) by finite element Method (FEM) using CUDA/OpenCL enabled
NVIDIA GPUs & OpenCL on HPC GPU Cluster.
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Tuning & Performance using CUDA enabled NVIDIA GPU Libraries; Memory Optimisation, Data-access optimization
for matrix computations
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Demonstration of Integrated Numerical Linear Algebra Kernels for Matrix Computations
(using Open Source Software)
on CUDA enabled NVIDIA GPUs & OpenCL enabled AMD-APP Tech.
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Tuning & Performance - Selective Application Benchmarks CUDA enabled NVIDIA GPUs &
AMD-APP SDK - OpenCL Programming
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Demonstration of Application kernels - CUDA enabled NVIDIA GPUs; OpenCL &
AMD-APP GPUs - SDKs
