high performance computing on graphics processing units: hgpu.org

Graphics Processor Units (GPUs) are known for offering high performance and power efficiency for processing algorithms that suit well to theirmassively parallel architecture. Unfortunately, as parallel programming for thiskind of architecture requires a complex distribution of tasks and data, developersfind it difficult to implement their applications effectively. Although approachesbased on source-to-source and model-to-source transformations have […]

As CPU clock frequencies plateau and the doubling of CPU cores per processor exacerbate the memory wall, hybrid core computing, utilizing CPUs augmented with FPGAs and/or GPUs holds the promise of addressing high-performance computing demands, particularly with respect to performance, power and productivity. While traditional approaches to benchmark high-performance computers such as SPEC, took an […]

OP2 is an "active" library framework for the solution of unstructured mesh applications. It aims to decouple the scientific specification of an application from its parallel implementation to achieve code longevity and near-optimal performance by re-targeting the back-end to different multi-core/many-core hardware. This paper presents the design of the OP2 code generation and compiler framework […]

In order to build the radio telescopes needed for the experiments planned for the years to come, it will be necessary to design computers capable of performing thousands more floating point operations per second than the actual most powerful computers of today, and do it in a very power efficient way. In this work we […]

This paper presents a webcam-based spherical coordinate conversion system using OpenCL massive parallel computing for panorama video image stitching. With multi-core architecture and its high-bandwidth data transmission rate of memory accesses, modern programmable GPU makes it possible to process multiple video images in parallel for real-time interaction. To get a panorama view of 360 degrees, […]

Graphics Processing Units (GPUs) have enabled significant improvements in computational performance compared to traditional CPUs in several application domains. Until recently, GPUs have been programmed using C/C++ based methods such as CUDA (NVIDIA) and OpenCL (NVIDIA and AMD). Using these approaches, Fortran Numerical Weather Prediction (NWP) codes would have to be completely re-written to take […]

Recent developments in processor architecture have settled a shift from sequential processing to parallel processing. This shift was not based on a breakthrough in processor design, but was actually an alternative design trajectory to avoid the limits that were reached on single core development. Along with the shift towards parallel architectures, a gap arose between […]

Many physical, biological or chemical systems are modeled by ordinary differential equations (ODEs) and finding their solution is an every-day-task for many scientists. Here, we introduce a new C++ library dedicated to find numerical solutions of initial value problems of ODEs: odeint (www.odeint.com). odeint is implemented in a highly generic way and provides extensive interoperability […]

Much of the current focus in high performance computing (HPC) for computational fluid dynamics (CFD) deals with grid based methods. However, parallel implementations for new meshfree particle methods such as Smoothed Particle Hydrodynamics (SPH) are less studied. In this work, we present optimizations for both central processing unit (CPU) and graphics processing unit (GPU) of […]

With the current hybridization of treecodes and FMMs, combined with auto-tuning capabilities on heterogeneous architectures, the flexibility of fast N-body methods has been greatly enhanced. These features are a requirement to developing a black- box software library for fast N-body algorithms on heterogeneous systems, which is our immediate goal.

In this paper we present a thorough experience on tuning double-precision matrix-matrix multiplication (DGEMM) on the Fermi GPU architecture. We choose an optimal algorithm with blocking in both shared memory and registers to satisfy the constraints of the Fermi memory hierarchy. Our optimization strategy is further guided by a performance modeling based on micro-architecture benchmarks. […]

Simulating the real world has become one of the most widely used techniques in engineering today. Multiprocessor platforms play a key role in this development since bigger and bigger problems need more computing power to be solved. When the floating point standard was adopted in the early eighties of the 20th century, the amount of […]