Jan, 16

An OpenCL(TM) Deep Learning Accelerator on Arria 10

Convolutional neural nets (CNNs) have become a practical means to perform vision tasks, particularly in the area of image classification. FPGAs are well known to be able to perform convolutions efficiently, however, most recent efforts to run CNNs on FPGAs have shown limited advantages over other devices such as GPUs. Previous approaches on FPGAs have […]
Jan, 10

An FPGA Accelerator for Molecular Dynamics Simulation Using OpenCL

Molecular dynamics (MD) simulations are very important to study physical properties of the atoms and molecules. However, a huge amount of processing time is required to simulate a few nano-seconds of an actual experiment. Although the hardware acceleration using FPGAs provides promising results, huge design time and hardware design skills are required to implement an […]
Dec, 31

Automatic OpenCL Task Adaptation for Heterogeneous Architectures

OpenCL defines a common parallel programming language for all devices, although writing tasks adapted to the devices, managing communication and load-balancing issues are left to the programmer. In this work, we propose a novel automatic compiler and runtime technique to execute single OpenCL kernels on heterogeneous multi-device architectures. The technique proposed is completely transparent to […]
Dec, 31

dOpenCL – Evaluation of an API-Forwarding Implementation

Parallel workloads using compute resources such as GPUs and accelerators is a rapidly developing trend in the field of high performance computing. At the same time, virtualization is a generally accepted solution to share compute resources with remote users in a secure and isolated way. However, accessing compute resources from inside virtualized environments still poses […]
Dec, 18

The 5th International Workshop on OpenCL (IWOCL), 2017

The International Workshop on OpenCL (IWOCL) is an annual meeting of OpenCL users, researchers, developers and suppliers to share OpenCL best practise, and to promote the evolution and advancement of the OpenCL standard. The meeting is open to anyone who is interested in contributing to, and participating in the OpenCL community. IWOCL is the premier […]
Dec, 14

Translating OpenMP Device Constructs to OpenCL using Unnecessary Data Transfer Elimination

In this paper, we propose a framework that translates OpenMP 4.0 accelerator directives to OpenCL. By translating an OpenMP program to an OpenCL program, the program can be executed on any hardware platform that supports OpenCL. We also propose a run-time optimization technique that automatically eliminates unnecessary data transfers between the host and the target […]
Nov, 30

Hardware thread reordering to boost OpenCL throughput on FPGAs

Availability of OpenCL for FPGAs has raised new questions about the efficiency of massive thread-level parallelism on FPGAs. The general trend is toward creating deep pipelining and in-order execution of many OpenCL threads across a shared data-path. While this can be a very effective approach for regular kernels, its efficiency significantly diminishes for irregular kernels […]
Nov, 23

Performance Analysis of CUDA and OpenCL By Implementation of Cryptographic Algorithms

This paper presents a Performance Analysis of CUDA and OpenCL. Three different cryptographic algorithms, i.e. DES, MD5, and SHA-1 have been selected as the benchmarks for extensive analysis of the performance gaps between the two. Our results show that, on the average scenario, CUDA performs 27% better than OpenCL while in the best case scenario […]
Nov, 19

Evaluation of an OpenCL-Based FPGA Platform for Particle Filter

Particle filter is one promising method to estimate the internal states in dynamical systems, and can be used for various applications such as visual tracking and mobile-robot localization. The major drawback of particle filter is its large computational amount, which causes long computational-time and large powerconsumption. In order to solve this problem, this paper proposes […]
Nov, 13

OpenCL-based optimizations for acceleration of object tracking on FPGAs and GPUs

OpenCL support across many heterogeneous nodes (FPGAs, GPUs, CPUs) has increased the programmability of these systems significantly. At the same time, it opens up new challenges and design choices for system designers and application programmers. While OpenCL offers a universal semantic to capture the parallel behavior of applications independent of the target architecture, some customization […]
Nov, 13

Executing Dynamic Data Rate Actor Networks on OpenCL Platforms

Heterogeneous computing platforms consisting of general purpose processors (GPPs) and graphics processing units (GPUs) have become commonplace in personal mobile devices and embedded systems. For years, programming of these platforms was very tedious and simultaneous use of all available GPP and GPU resources required low-level programming to ensure efficient synchronization and data transfer between processors. […]
Nov, 10

PipeCNN: An OpenCL-Based FPGA Accelerator for Large-Scale Convolution Neuron Networks

Convolutional neural networks (CNNs) have been widely employed in many applications such as image classification, video analysis and speech recognition. Being compute-intensive, CNN computations are mainly accelerated by GPUs with high power dissipations. Recently, studies were carried out exploiting FPGA as CNN accelerator because of its reconfigurability and energy efficiency advantage over GPU, especially when […]
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