GTC2013

Tag: featured

GPU Computing Using Concurrent Kernels: A Case Study

GPU Computing Using Concurrent Kernels: A Case Study

| 31 October, 2012 | 0 Comments

We concentrated on two performance factors, namely the launching order of concurrent kernels and the kernel granularity. Extensive experiments show that the launching order of concurrent kernels can hardly affect application performance.

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Hurricane Sandy impact to GPU Science

Hurricane Sandy impact to GPU Science

| 29 October, 2012 | 0 Comments

Given several highly publicized Amazon outages over the past year, we will be watching Amazon Web Services’ US-1 data center complex in Ashburn, Va. As one of the AWS customers GPU Science is vulnerable to Hurricane Sandy too. We hosted exactly at us-east-1 region.

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Oak Ridge National Laboratory debuts fastest supercomputer Cray XK7 system Titan

Oak Ridge National Laboratory debuts fastest supercomputer Cray XK7 system Titan

| 29 October, 2012 | 1 Comment

The U.S. Department of Energy’s (DOE) Oak Ridge National Laboratory launched a new era of scientific supercomputing today with Titan, a system capable of churning through more than 20,000 trillion calculations each second-or 20 petaflop

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Parallel verlet neighbor list algorithm for GPU-optimized MD simulations

Parallel verlet neighbor list algorithm for GPU-optimized MD simulations

| 28 October, 2012 | 0 Comments

Computational biophysics research group of Professor Samuel Cho from Wake Forest University developed a novel parallel Verlet neighbor list algorithm for performing coarse-grained MD simulations of biologically relevant systems.

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Temporal and spectral imaging with micro-Computer Tomography

Temporal and spectral imaging with micro-Computer Tomography

| 26 October, 2012 | 0 Comments

Our proposed method produces five-dimensional volumetric images that distinguish different materials at different points in time, and can be used to segment regions containing iodinated blood and compute measures of cardiac function.

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A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply

A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply

| 26 October, 2012 | 0 Comments

As users and developers, we are witnessing the opening of a new computing scenario: the introduction of hybrid processors into a single die, such as an accelerated processing unit (APU) processor, and the plug-and-play of additional graphics processing units (GPUs) onto a single motherboard

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Long Time Scale GPU Dynamics Reveal the Mechanism of Influenza Drug Resistance

Long Time Scale GPU Dynamics Reveal the Mechanism of Influenza Drug Resistance

| 25 October, 2012 | 1 Comment

The simulations, run using graphical processors (GPUs), were used to investigate the effect of conformational change upon binding of the NA inhibitors oseltamivir and zanamivir in the wild-type and the IR and IRHY mutant strains

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GPU-accelerated Quantum ESPRESSO: Path to Petascale Simulations

GPU-accelerated Quantum ESPRESSO: Path to Petascale Simulations

| 24 October, 2012 | 1 Comment

Quantum ESPRESSO (QE) is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials

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High-Throughput parallel blind Virtual Screening using BINDSURF

High-Throughput parallel blind Virtual Screening using BINDSURF

| 19 October, 2012 | 0 Comments

Authors present BINDSURF, a novel VS methodology that scans the whole protein surface in order to find new hotspots, where ligands might potentially interact with, and which is implemented in last generation massively parallel GPU hardware, allowing fast processing of large ligand databases.

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New Udacity Courses: Introduction to Parallel Programming, 3D Graphics and more

New Udacity Courses: Introduction to Parallel Programming, 3D Graphics and more

| 18 October, 2012 | 0 Comments

Udacity, a company on a mission to democratize education, today announced it is partnering with technology leaders Google, NVIDIA, Microsoft, Autodesk, Cadence, and Wolfram to deliver a new series of free courses online at Udacity.com.

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