high performance computing on graphics processing units: hgpu.org

We propose a new model for the improved reconstruction and zooming of JPEG (Joint Photographic Experts Group) images. In the reconstruction process, given a JPEG compressed image, our method first determines the set of possible source images and then specifically chooses one of these source images satisfying additional regularity properties. This is realized by employing […]

A Lagrangian particle scheme is applied to the projection method for the incompressible Navier-Stokes equations. The approximation of spatial derivatives is obtained by a computationally expensive Finite Pointset method. GPU computations are applied to improve the computational speed-up. The numerical solutions are obtained for the broken dam problem and are compared with the analytical solutions. […]

Functional brain connectivity from fMRI studies has become an important tool in studying functional interactions in the human brain as a complex network. Most recently, research has started focusing on whole brain functional networks at the voxel-level, where fMRI time-signals at each voxel are correlated with every other voxel in the brain to determine their […]

Graphics processing units (GPUs) offer significant speedups over CPUs for certain classes of applications. However, maximizing GPU performance can be a difficult task due to the relatively high programming complexity as well as frequent hardware changes. Important performance optimizations are applied by the GPU compiler ahead of time and require fixed parameter values at compile […]

Homogeneous multicore processors, heterogeneous multicore processors, high performance accelerators, and other heterogeneous architectures have significant computing potential over traditional single core processors. Computer systems comprised of these specialized processing elements are increasingly common. Due to the increased complexity of these architectures, programming for them has become increasingly complex and error prone. Each of these architectures […]

Understanding protein and RNA biomolecular folding and assembly processes have important applications because misfolding is associated with diseases like Alzheimer’s and Parkinson’s. However, simulating biologically relevant biomolecules on timescales that correspond to biological functions is an extraordinary challenge due to bottlenecks that are mainly involved in force calculations. We briefly review the molecular dynamics (MD) […]

We present Three Fingered Jack, a highly productive approach to mapping vectorizable applications to the FPGA. Our system applies traditional dependence analysis and reordering transformations to a restricted set of Python loop nests. It does this to uncover parallelism and divide computation between multiple parallel processing elements (PEs) that are automatically generated through high-level synthesis […]

The recent upsurge in research into general-purpose applications for graphics processing units (GPUs) has made low cost high-performance computing increasingly more accessible. Many global optimization algorithms that have previously benefited from parallel computation are now poised to take advantage of general-purpose GPU computing as well. In this paper, a global parallel asynchronous particle swarm optimization […]

The objective of our project is to develop a complete ultrasound platform with real-time GPU processing. The platform is designed to be modular and scalable both in number of ultrasound channels (64-256), as well as in communication bandwidth and processing power. By standardizing on the PCIe switch fabric, we are planning to integrate all the […]

We describe efficient algorithms to analyze the cycle structure of the graph induced by the state transition function of the A5/1 stream cipher used in GSM mobile phones and report on the results of the implementation. The analysis is performed in five steps utilizing HPC clusters, GPGPU and external memory computation. A great reduction of […]

We consider the problem of computing reachability probabilities: given a Markov chain, an initial state of the Markov chain, and a set of goal states of the Markov chain, what is the probability of reaching any of the goal states from the initial state? This problem can be reduced to solving a linear equation Ax=b […]

GPU computing is a new paradigm in high performance signal and image processing. Massive parallel processing offered by the GPUs provides high acceleration of computations when they are properly implemented. Ultrasound image reconstruction is one of these highly parallel classes of algorithms. Massive amount of multichannel input data and deterministic order of execution makes US […]