high performance computing on graphics processing units: hgpu.org

High-Performance computing is one of the major areas making inroads into the future for large-scale simulation. Applications such as 3D nuclear test, Molecular Dynamics, and Quantum Monte Carlo simulations are now developed on supercomputers using the latest computing technologies. As per the TOP500 supercomputers rating, most of today’s supercomputers are now heterogeneous: with massively parallel […]

In recent years, Graphics Processing Units (GPUs) have piqued the interest of researchers in scientific computing. Their immense floating point throughput and massive parallelism make them ideal for not just graphical applications, but many general algorithms as well. Load balancing applications and taking advantage of all computational resources in a machine is a difficult challenge, […]

The Chemical Master Equation (CME) is a stochastic and discrete-state continuous-time model for macromolecular reaction networks inside the cell. Under this theoretical framework, the solution of a sparse linear system provides the steady-state probability landscape over the molecular microstates. The CME framework can in fact reveal important insights into basic principles on how biological networks […]

As Graphics Processing Units (GPUs) have gained in capability and GPU development environments have matured, developers are increasingly turning to the GPU to off-load the main host CPU of numerically-intensive, parallelizable computations. Modern GPUs feature hundreds of cores, and offer programming niceties such as double-precision floating point, and even limited recursion. This shift from CPU […]

This document introduces WebCL [1], a new standard under development by the Khronos Group, for highperformance computing in web browsers. Since WebCL wraps OpenCL, the course starts by reviewing important OpenCL [2] concepts. Next, we detail how to program with WebCL in the browser and on devices such as GPUs. Finally, we discuss WebCL – […]

The 2013 International Conference on Network Computing and Information Security (NCIS’13) and the 2013 International Conference on Multimedia and Signal Processing (CMSP’13) will be jointly held at Guiyang, China in September 20-22, 2013. NCIS’13- CMSP’13 aims to provide a high-level international forum for scientists and researchers to present the state of the art of Network […]

In recent years, we have witnessed an increasing heterogeneity of computing resources. A typical laptop today combines at least one multicore processor with one general purpose graphics processing unit (GPGPU), while supercomputer nodes typically have several of each. Exploiting all these available computing resources effectively is very important, but also still very challenging. In this […]

Scientific computing is only bound by the limits of Moore’s Law and the scalability of high performance mathematical library implementations. Most mathematical libraries however tend to focus only on general inputs, limiting their potential performance and scalability by not tailoring their implementation to specific inputs, such as non-negative inputs. By removing this limitation it is […]

Driven by the goals of efficient and generic communication of noncontiguous data layouts in GPU memory, for which solutions do not currently exist, we present a parallel, noncontiguous data-processing methodology through the MPI datatypes specification. Our processing algorithm utilizes a kernel on the GPU to pack arbitrary noncontiguous GPU data by enriching the datatypes encoding […]

We describe a novel deep packet inspection technique that provides precise quantitative measures for detecting data exfiltration. We point out the fundamental differences between our data leak detection and the conventional intrusion detection systems (IDS). The key to our solution is a powerful sampling algorithm and a sophisticated local alignment algorithm. Our sampling method has […]

Density-based clustering algorithms are a widely-used class of data mining techniques that can find irregularly shaped clusters and cluster data without prior knowledge of the number of clusters it contains. DBSCAN is the most well-known density-based clustering algorithm. We introduce our version of DBSCAN, called Mr. Scan, which uses a hybrid parallel implementation that combines […]

We present a realtime GPU-based motion planning algorithm for robot task executions. Many task execution strategies break down a high-level task planning problem into multiple low-level motion planning problems, and it is essential to solve those problems at interactive rates. In order to achieve high performance for the planning, our method exploits a high number […]