high performance computing on graphics processing units: hgpu.org

Programmers who need high performance currently rely on low-level, architecture-specific programming models (e.g. OpenMP for CMPs, CUDA for GPUs, MPI for clusters). Performance optimization with these frameworks usually requires expertise in the specific programming model and a deep understanding of the target architecture. Domain-specific languages (DSLs) are a promising alternative, allowing compilers to map problem-specific […]

Population-based evolutionary algorithms continue to play an important role in artifically intelligent systems, but can not always easily use parallel computation. We have combined a geometric (any-space) particle swarm optimisation algorithm with use of Ferreira’s Karva language of gene expression programming to produce a hybrid that can accelerate the genetic operators and which can rapidly […]

The aim of this project is to explore the possible application of Graphics Processors (GPUs) to accelerate and speed up sequence alignment by Fourier-space cross-correlation. Aligning signals using cross-correlations is a well studied approach in the world of signal processing, but has found relatively little reception in the realm of computational genomics. As long as […]

Label-free optical bionsensors are known to be accurate and reliable tools for measuring and monitoring certain biomolecular interactions. In recent years, new techniques and technologies have emerged that enable high-throughput biosensing at lower system size, cost, and complexity. In particular, the LED-based Interferometric Reflectance Imaging Sensor (IRIS) has been demonstrated as a viable alternative to […]

This thesis studies the techniques of tiling optimizations for stencil programs. Traditionally, research on tiling optimizations mainly focuses on tessellating tiling, atomic tiles and regular tile shapes. This thesis studies several novel tiling techniques which are out of the scope of traditional research. In order to represent a general tiling scheme uniformly, a unified tiling […]

The CUDA 5.5 RC is now available to CUDA Registered Developers on https://developer.nvidia.com/registered-developer-programs. Ujval Kapasi, NVIDIA CUDA Product Manager, will provide an overview of the new features of CUDA 5.5. CUDA Registered Developers already have access to the toolkit downloads – but we’ll provide brief instructions on how to download and install the binaries and […]

Floating point precision and performance and the ratio of floating point units to integer processing elements on a graphics processing unit accelerator all continue to present complex tradeoffs for optimising core utilisation on modern devices. We investigate various hybrid CPU and GPU combinations using a range of different GPU models occupying different points in this […]

The development of a standardised testing methodology for side-channel resistance of cryptographic devices is an issue that has received recent focus from standardisation bodies such as NIST. Statistical techniques such as hypothesis and significance testing appear to be ideally suited for this purpose. In this work we evaluate the candidacy of three such tests: a […]

This article describes a methodology for fitting experimental data to the discrete power-law distribution and provides the results of a detailed simulation exercise used to calculate accurate cutoff values used to assess the fit to a power-law distribution when using the maximum likelihood estimation for the exponent of the distribution. Using massively parallel programming computing, […]

This dissertation summarizes experimental validation and co-design studies conducted to optimize the fault detection capabilities and overheads in hybrid computer systems (e.g., using CPUs and Graphics Processing Units, or GPUs), and consequently to improve the scalability of parallel computer systems using computational accelerators. The experimental validation studies were conducted to help us understand the failure […]

Finding efficient vehicle routes is an important logistics problem which has been studied for several decades. Metaheuristic algorithms offer some solutions for that problem. This paper deals with GPU implementation of the ant colony optimization algorithm (ACO), which can be used to find the best vehicle route between designated points. The algorithm is applied on […]

Graphical Processing Units(GPUs) are usually programmed to provide data-parallel acceleration to a host processor. Modern GPUs typically have an internal multi-processor (MP) structure that can be exploited in an unusual way to offer semi-independent task parallelism providing the MPs can operate within their own localised memory and apply data-parallelism to their own problem subset. We […]