high performance computing on graphics processing units: hgpu.org

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. […]

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 […]

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 […]

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 […]

In this report, we present an OpenCL-based design of a hashing function which forms a core component of memcached [1], a distributed in-memory key-value store caching layer widely used to reduce access load between web servers and databases. Our work has been inspired by recent research investigations on dataflow architectures for key-value stores that can […]

This work presents CLTune, an auto-tuner for OpenCL kernels. It evaluates and tunes kernel performance of a generic, user-defined search space of possible parametervalue combinations. Example parameters include the OpenCL workgroup size, vector data-types, tile sizes, and loop unrolling factors. CLTune can be used in the following scenarios: 1) when there are too many tunable […]

Designing hardware is a time-consuming and complex process. Realization of both, embedded and high-performance applications can benefit from a design process on a higher level of abstraction. This helps to reduce development time and allows to iteratively test and optimize the hardware design during development, as common in software development. We present our tool, OCLAcc, […]

Heterogeneous systems are computer systems that exploit multiple devices with different processor architectures to improve the computing efficiency by offloading workloads to the device that fits them best. OpenCL is a framework for building portable applications that run across different devices in heterogeneous systems. It has gained traction as a powerful tool for high-performance computing. […]

CONTEXT: Embedded platforms GPUs are reaching a level of performance comparable to desktop hardware. Therefore it becomes interesting to apply Computer Vision techniques to modern smartphones.The platform holds different challenges, as energy use and heat generation can be an issue depending on load distribution on the device. OBJECTIVES: We evaluate the viability of a feature […]

In recent times, it has become possible to parallelize many multimedia applications using multicore platforms such as CPUs and GPUs. In this paper, we propose a parallel processing approach for a multimedia application by using both the CPU and GPU. Instead of distributing the parallelizable workload to either the CPU or GPU, we distribute the […]

Computer vision algorithms are becoming increasingly important in mobile, embedded, and wearable devices and applications. These compute-intensive workloads are challenging to implement with good performance and power-efficiency. In many applications, implementing critical portions of computer vision workloads on a general-purpose graphics processing unit (GPU) is an attractive solution. Qualcomm enables programming of the Adreno GPU […]

Graphics processing units (GPUs) have become increasingly powerful in recent years. Programs exploring the advantages of this architecture could achieve large performance gains and this is the aim of new initiatives in high performance computing. The objective of this work is to develop an efficient tool to model 2D elastic wave propagation on parallel computing […]