high performance computing on graphics processing units: hgpu.org

In recent years the need to solve complex problems that require large computing resources in shorter time has especially arisen. Some of these in the scientific field are: weather forecast, seismic simulations, chemical reactions simulation and studies on the human genoma [1]. All of them belong to the "Grand Challenge Problems" set. As can be […]

For a given level of security, elliptic curve cryptography (ECC) offers improved efficiency over classic public key implementations. Point multiplication is the most common operation in ECC and, consequently, any significant improvement in perfor- mance will likely require accelerating point multiplication. In ECC, the Montgomery algorithm is widely used for point multiplication. The primary purpose […]

Heterogeneous architectures, by definition, include multiple processing components with very different microarchitectures and execution models.In particular, computing platforms from supercomputers to smartphones can now incorporate both CPU and GPU processors. Disparities between CPU and GPU processor architectures have naturally led to distinct programming models and development patterns for each component.Developers for a specific system decompose […]

This paper presents a performance modeling and optimization analysis tool to predict and optimize the performance of sparse matrix-vector multiplication (SpMV) on GPUs. We make the following contributions: (1) We present an integrated analytical and profile-based performance modeling to accurately predict the kernel execution times of CSR, ELL, COO, and HYB SpMV kernels. Our proposed […]

Quantitative sodium magnetic resonance imaging permits noninvasive measurement of the tissue sodium concentration (TSC) bioscale in the brain. Computing the TSC bioscale requires reconstructing and combining multiple datasets acquired with a non-Cartesian acquisition that highly oversamples the center of k-space. Even with an optimized implementation of the algorithm to compute TSC, the overall processing time […]

In this paper the migration of a 10 Earth mass planetary core is investigated at the outer boundary of the dead zone of a protoplanetary disc by means of 2D hydrodynamic simulations done with the GPU version of the FARGO code. In the dead zone the effective viscosity is greatly reduced due to the disc […]

Next generation radio telescopes will require orders of magnitude more computing power to provide a view of the universe with greater sensitivity. In the initial stages of the signal processing flow of a radio telescope, signal correlation is one of the largest challenges in terms of handling huge data throughput and intensive computations. We implemented […]

If you’ve ever wanted to virtualize your CAD or professional video graphics application and have the exact same local experience on a secure central platform, then this webinar provides insight on how to get there. Join Technology Evangelist, Thomas Poppelgaard, and learn how Citrix XenDesktop®, XenApp® and XenServer®, in combination with NVIDIA GRID VGX, makes […]

In this webinar, Hicham Lahlou, CEO & Co-founder, Xcelerit, will discuss real world applications of GPUs in risk management. He will show, using the Xcelerit SDK, how the complexity of GPU programming can be overcome allowing existing models and applications to be easily accelerated and extended, cutting software development and maintenance costs. The risks associated […]

General-purpose GPUs now account for substantial computing power on many platforms, but the management of GPU resources – cycles, memory, bandwidth – is frequently hidden in black-box libraries, drivers, and devices, outside the control of mainstream OS kernels. We believe that this situation is untenable, and that vendors will eventually expose sufficient information about cross-black-box […]

Ultrasound simulations are a type of application that are both computationally and communicatively intensive. With better performance, implementations of these can be used in designing new ultrasound probes, developing better signal processing techniques, training new ultrasonographers, in treatment planning and many other uses [11]. The pseudo-spectral technique can be used effectively to express the wave-propagation […]

The clustering of putative protein/Open Reading Frame (ORF) sequences available from large-scale metagenomics survey projects is a core analytical function that has led to the identification and characterization of novel protein families of environmental microbial communities. The implementation of this function, however, is currently challenged not only by data size but also by data complexity. […]