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Posts

May, 28

Implementing a Photorealistic Rendering System using GLSL

Ray tracing on GPUs is becoming quite common these days. There are many publicly available documents on how to implement basic ray tracing on GPUs for spheres and implicit surfaces. We even have some general frameworks for ray tracing on GPUs. We however hardly find details on how to implement more complex ray tracing algorithms […]
May, 28

Analysis of GPU Parallel Computing based on Matlab

Matlab is very widely used in scientific computing, but Matlab computational efficiency is lower than C language program. In order to improve the computing speed, some toolbox can use GPU to accelerate the computation. This paper describes GPU working principle, our experiments and results analysis of parallel computing by using GPU based on Matlab. Experimental […]
May, 28

Citrix Ready Technical Webinar with NVIDIA

Blow your designers minds by combining 3D apps with XenDesktop and NVIDIA GPUs Got key users with 3D apps? Already familiar with XenDesktop? Want to blow your designers minds by combining 3D apps with Desktop Virtualization? Your key users drive your company IP. Desktop Virtualization with NVIDIA graphics will drive your key users’ productivity. Learn […]
May, 25

DjiNN and Tonic: DNN as a Service and Its Implications for Future Warehouse Scale Computers

As applications such as Apple Siri, Google Now, Microsoft Cortana, and Amazon Echo continue to gain traction, webservice companies are adopting large deep neural networks (DNN) for machine learning challenges such as image processing, speech recognition, natural language processing, among others. A number of open questions arise as to the design of a server platform […]
May, 25

Nucleation of nanoparticles in a coarse grained fluid using OpenCL

In this thesis, the nucleation rate of almost hard spheres in a course-grained fluid is measured to study the effects of an explicit solvent on the nucleation rate. Previous measurements show a discrepancy between physical measurements and simulations, where the latter all used implicit solvents. In this thesis, the fluid is approximated using Stochastic Rotation […]
May, 25

On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising

Many image processing methods such as corner detection,optical flow and iterative enhancement make use of image tensors. Generally, these tensors are estimated using the structure tensor. In this work we show that the gradient energy tensor can be used as an alternativeto the structure tensor in several cases. We apply the gradient energy tensor to […]
May, 25

ACCTuner: OpenACC Auto-Tuner For Accelerated Scientific Applications

We optimize parameters in OpenACC clauses for a stencil evaluation kernel executed on Graphical Processing Units (GPUs) using a variety of machine learning and optimization search algorithms, individually and in hybrid combinations, and compare execution time performance to the best possible obtained from brute force search. Several auto-tuning techniques – historic learning, random walk, simulated […]
May, 25

Solving incompressible Navier-Stokes equations on heterogeneous parallel architectures

In this PhD thesis, we present our research in the domain of high performance software for computational fluid dynamics (CFD). With the increasing demand of high-resolution simulations, there is a need of numerical solvers that can fully take advantage of current manycore accelerated parallel architectures. In this thesis we focus more specifically on developing an […]
May, 22

An Introduction to OpenCL C++

Today servers, desktops, mobile devices, and embedded systems contain many processors in addition to the CPU that runs programs. These extra processors are generally called accelerators and could be a GPU, FPGA, Xeon Phi, or other programmable device. There are many types of accelerators available, from many vendors, for many different environments. Khronos developed the […]
May, 22

Key derivation functions and their GPU implementation

Key derivation functions are a key element of many cryptographic applications. Password-based key derivation functions are designed specifically to derive cryptographic keys from low-entropy sources (such as passwords or passphrases) and to counter brute-force and dictionary attacks. However, the most widely adopted standard for password-based key derivation, PBKDF2, as implemented in most applications, is highly […]
May, 22

Parallel and Improved PageRank Algorithm for GPU-CPU Collaborative Environment

The internet is a huge collection of websites in the order of 10^8 bytes. Around 90% of the world’s population uses search engines for getting relevant information. According to Wikipedia, more than 200 million Indians use the Internet every day. Thus the correct data retrieval least time domain is the most important task. Hence need […]
May, 22

Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries

There have been a number of research proposals to use discrete graphics processing units (GPUs) to accelerate database operations. Although many of these works show up to an order of magnitude performance improvement, discrete GPUs are not commonly used in modern database systems. However, there is now a proliferation of integrated GPUs which are on […]

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