high performance computing on graphics processing units: hgpu.org

The human brain is an incredible system which can process, store, and transfer information with high speed and volume. Inspired by such system, engineers and scientists are cooperating to construct a digital brain with these characteristics. The brain is composed by billions of neurons which can be modeled by mathematical equations. The first step to […]

The use of GPUs for processing large sets of parallelizable data has increased sharply in recent years. As the concept of GPU computing is still relatively young, parameters other than computation time, such as energy eciency, are being overlooked. Two parallel computing platforms, CUDA and OpenCL, provide developers with an interface that they can use […]

To develop a new SIMD-MIMD architecture we first characterized GPGPU workloads using simple and well known workload metrics to identify the performance bottlenecks. We found that the benchmarks with branch divergence do not utilize the SIMD width optimally on conventional GPUs. We also studied the performance bottlenecks of motion compensation kernel developed in Task 3.2 […]

Reverse Time Migration technique produces underground images using wave propagation. A discretization based on the Discontinuous Galerkin Method unleashes a massively parallel elastodynamics simulation, an interesting feature for current and future architectures. In this work, we propose to combine two recent HPC techniques to achieve a high level of efficiency: the use of runtimes (StarPU […]

In this work we are (a) exploring memory slack for the state-of-the-art many-core CPUs and GPUs, (b) present techniques to eliminate slack, and (c) explore the architectural parameters to improve power eciency. Dynamic Voltage-Frequency Scaling (DVFS) is one of the most benecial techniques for CPU’s to improve power eciency. The end of Dennard scaling however, […]

In this paper we study NVIDIA graphics processing unit (GPU) along with its computational power and applications. Although these units are specially designed for graphics application we can employee there computation power for non graphics application too. GPU has high parallel processing power, low cost of computation and less time utilization; it gives good result […]

Computer architecture is at the brink of convergence with the integration of the general-purpose multi-core CPU architecture and the special purpose accelerated graphics architecture (GPU). Semiconductor giants like Intel and AMD have already brought to the market next-generation integrated heterogeneous processors in the form of the Sandy Bridge and the Fusion architecture respectively. However, with […]

Nowadays, the data to be processed by database systems has grown so large that any conventional, centralized technique is inadequate. At the same time, general purpose computation on GPU (GPGPU) recently has successfully drawn attention from the data management community due to its ability to achieve significant speed-ups at a small cost. Efficient skew handling […]

We study the percolation problem of sites on 2D lattices of various geometries, using general purpose graphic processing units (GPGPU). The implementation of a component labeling parallel algorithm in CUDA and their generalization to different geometries, is discussed. The results of performance for this algorithm on a GPU versus the corresponding sequential implementation of reference […]

This paper presents efficient implementation of RLS-based adaptive filters with a large number of taps on nVIDIA GeForce graphics processing unit (GPU) and CUDA software development environment. Modification of the order and the combination of calculations reduces the number of accesses to slow off-chip memory. Assigning tasks into multiple threads also takes memory access order […]

Time-of-Flight (ToF) cameras gained a lot of scientific attention and became a vivid field of research in the last years. A still remaining problem of ToF cameras are motion artifacts in dynamic scenes. This paper presents a new preprocessing method for a fast motion artifact compensation. We introduce a ow like algorithm that supports motion […]

Vortex detection and visualization is an important technique for computational fluid dynamics (CFD) modelers and analysts. Since vortices are often not just local phenomena, algorithms for detecting the vortex core can be expanded by the use of streamline placement and termination methodologies to appropriately visualize the vortex. We are enhancing an existing VCDetect software tool […]