high performance computing on graphics processing units: hgpu.org

We accelerated an {it ab-initio} QMC electronic structure calculation by using GPGPU. The bottleneck of the calculation for extended solid systems is replaced by CUDA-GPGPU subroutine kernels which build up spline basis set expansions of electronic orbital functions at each Monte Carlo step. We achieved 30.8 times faster evaluation for the bottleneck, confirmed on the […]

In this study, we visualize Pareto-optimum solutions derived from multiple-objective optimization using spherical self-organizing maps (SOMs) that lay out SOM data in three dimensions. There have been a wide range of studies involving plane SOMs where Pareto-optimal solutions are mapped to a plane. However, plane SOMs have an issue that similar data differing in a […]

Massively Parallel Processing Arrays (MPPA) constitute programmable hardware accelerators that excel in the execution of applications exhibiting Data-Level Parallelism (DLP). The concept of employing such programmable accelerators as sidekicks to the more traditional, general-purpose processing cores has very recently entered the mainstream; both Intel and AMD have introduced processor architectures integrating a Graphics Processing Unit […]

General Purpose GPU computing, or GPGPU, is the use of a GPU (graphics processing unit) to do general purpose scientific and engineering computing. The model for GPU computing is to use a CPU and GPU together in a heterogeneous co-processing computing platform. The sequential part of the application runs on the CPU and the computationally-intensive […]

Next generation DNA sequencing technologies generate terabytes of image data in a typical run over several days. Compute power to process the increasing amount of image data is becoming a problem in next generation sequencing. We propose to use the compute power of Graphical Processing Units (GPUs) to address this problem. GPUs have an efficient […]

We present a very exible Brownian bridge generator together with a GPU implementation which achieves close to peak performance on an NVIDIA C2050. The performance is compared with an OpenMP implementation run on several high performance x86-64 systems. The GPU shows a performance gain of at least 10x. Full comparative results are given in Section […]

3D Video and related technologies like view synthesis, 2D-3D video conversions rely heavily on depth/disparity maps extracted from stereo video content. Innovative Segment-based depth map extraction chain from stereo video content was proposed in [1] giving good trade-off between quality (exactness to the ground truth) and computational complexity. We accelerated this work further by ~150%, […]

GPU-to-CPU translation may extend Graphics Processing Units (GPU) programs executions to multi-/many-core CPUs, and hence enable cross-device task migration and promote whole-system synergy. This paper describes some of our findings in treatment to GPU synchronizations during the translation process. We show that careful dependence analysis may allow a fine-grained treatment to synchronizations and reveal redundant […]

Jacobi algorithm for Karhunen-Loeve transform of a symmetric real matrix, and its parallel implementation using chess tournament algorithm are revisited in this paper. Impact of memory access patterns and significance of memory coalescing on the performance of the GPU implementation for the parallel Jacobi algorithm are emphasized. Two novel memory access methods for the Jacobi […]

With the use of belief propagation (BP) decoding algorithm, low-density parity-check (LDPC) codes can achieve near-Shannon limit performance. LDPC codes can accomplish bit error rates (BERs) as low as $10^{-15}$ even at a small bit-energy-to-noise-power-spectral-density ratio ($E_{b}/N_{0}$). In order to evaluate the error performance of LDPC codes, simulators running on central processing units (CPUs) are […]

This paper presents a new efficient algorithm for computing temporally consistent disparity maps from video footage. Our method is motivated by recent work [1] that achieves high quality stereo results by smoothing disparity costs with a fast edge-preserving filter. This previous approach was designed to work with single static image pairs and does not maintain […]

In this paper, we present two conceptual frameworks for GPU applications to adjust their task execution times based on total workload. These frameworks enable smart GPU resource management when many applications share GPU resources while the workloads of those applications vary. Application developers can explicitly adjust the number of GPU cores depending on their needs. […]