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Posts

Dec, 1

Bridging OpenCL and CUDA: A Comparative Analysis and Translation

Heterogeneous systems are widening their user-base, and heterogeneous computing is becoming popular in supercomputing. Among others, OpenCL and CUDA are the most popular programming models for heterogeneous systems. Although OpenCL inherited many features from CUDA and they have almost the same platform model, they are not compatible with each other. In this paper, we present […]
Nov, 25

Optimization of a Machine Learning Algorithm on the Heterogeneous system using OpenCL

Today, there is no one who disagrees on how important data is in every industry especially in enterprise market. More recently, the key point that decides the survival of a business is the management of their big data, which is defined by the 3V’s: Volume, Velocity, and Variety [1]. While the rate of data generation […]
Nov, 11

Autotuning OpenCL Workgroup Size for Stencil Patterns

Selecting an appropriate workgroup size is critical for the performance of OpenCL kernels, and requires knowledge of the underlying hardware, the data being operated on, and the implementation of the kernel. This makes portable performance of OpenCL programs a challenging goal, since simple heuristics and statically chosen values fail to exploit the available performance. To […]
Nov, 3

A Framework for Transparent Execution of Massively-Parallel Applications on CUDA and OpenCL

We present a novel framework for the simultaneous development for different massively parallel platforms. Currently, our framework supports CUDA and OpenCL but it can be easily adapted to other programming languages. The main idea is to provide an easy-to-use abstraction layer that encapsulates the calls of own parallel device code as well as library functions. […]
Oct, 27

CFP: Fourth International Workshop on OpenCL (IWOCL 2016)

* Call for Papers * Now in its fourth year, the International Workshop on OpenCL (IWOCL) will be hosted by TU Wien in Vienna, Austria, at the C3 Convention Center on April 19th – 21st 2016. April 19th is reserved for an Advanced Hands On OpenCL tutorial with April 20th – 21st consisting of a […]
Oct, 25

Execution of Compound Multi-Kernel OpenCL Computations in Multi-CPU/Multi-GPU Environments

Current computational systems are heterogeneous by nature, featuring a combination of CPUs and GPUs. As the latter are becoming an established platform for high-performance computing, the focus is shifting towards the seamless programming of these hybrid systems as a whole. The distinct nature of the architectural and execution models in place raises several challenges, as […]
Oct, 18

Implementation of a Power Efficient Synthetic Aperture Radar Back Projection Algorithm on FPGAs Using OpenCL

In this thesis, an implementation of a Synthetic Aperture Radar (SAR) back projection algorithm onto a Field-Programmable Gate Array (FPGA) device using Open Computing Language (OpenCL) is developed. SAR back projection is a method to form a high-resolution terrain image from radar data. SAR is used in many applications such as Geographic Information Systems (GIS), […]
Oct, 16

Comparison of Thread Execution Methods for GPU-oriented OpenCL Programs on Multicore Processors

With the broad deployment of multicore processors, there are increasing demands to port OpenCL programs written for GPUs onto the multicore processors. However, OpenCL programs written for GPUs cannot run efficiently on multicore processors since GPU-oriented OpenCL programs generally consist of a huge number of threads. This paper presents experimental comparisons of three thread execution […]
Sep, 29

Solving prime-field ECDLPs on GPUs with OpenCL

The intractability of the ECDLP is part of what makes many cryptographic application work. As such, viewing this problem from as many angles as possible is worthwhile. In this thesis, we explore the angle of creating a GPU ECDLP solver using OpenCL. In the process, we discuss the many issues, limitations and solutions we encounter. […]
Sep, 24

OpenCL Based Digital Image Projection Acceleration

In this thesis, several implementations of an image back projection algorithm using Open Computing Language (OpenCL) for different types of processors are developed. Image back projection is a method to take aerial imagery and create a map-like image that contains real-world dimensions and to remove the perspective angle from the camera. The processors that ran […]
Sep, 24

A Co-Design Framework with OpenCL Support for Low-Energy Wide SIMD Processor

Energy efficiency is one of the most important metrics in embedded processor design. The use of wide SIMD architecture is a promising approach to build energyefficient high performance embedded processors. In this paper, we propose a design framework for a configurable wide SIMD architecture that utilizes an explicit datapath to achieve high energy efficiency. The […]
Sep, 19

Automatic OpenCL code generation for multi-device heterogeneous architectures

Using multiple accelerators, such as GPUs or Xeon Phis, is attractive to improve the performance of large data parallel applications and to increase the size of their workloads. However, writing an application for multiple accelerators remains today challenging because going from a single accelerator to multiple ones indeed requires to deal with potentially nonuniform domain […]
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