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Posts

Dec, 22

Log File Regular Expression Pattern Matching And Capture With GPUs

The information contained in a system is normally stored into log files. Most of the time, these files store the information in plain text with many not formatted information. It is then necessary to extract parts of this information to be able to understand what is going on such system. Currently, such information can be […]
Dec, 20

Fluid Simulation: Smoothed Particle Hydrodynamics on the GPU

This report describes the physical concept of fluids as well as a mathematical model for fluids governed by the Navier-Stokes equations. The Smoothed Particle Hydrodynamics method (SPH) for simulating fluids is described, and implementation details of the method are explained. Numerical integration methods such as Euler and Leap-Frog integration are discussed. The presented result is […]
Dec, 20

An EoS-meter of QCD transition from deep learning

Supervised learning with a deep convolutional neural network is used to identify the QCD equation of state (EoS) employed in relativistic hydrodynamic simulations of heavy-ion collisions. The final-state particle spectra $rho(p_T,Phi)$ provide directly accessible information from experiments. High-level correlations of $rho(p_T,Phi)$ learned by the neural network act as an "EoS-meter", effective in detecting the nature […]
Dec, 20

Performance Optimisation of Smoothed Particle Hydrodynamics Algorithms for Multi/Many-Core Architectures

We describe a strategy for code modernisation of Gadget, a widely used community code for computational astrophysics. The focus of this work is on node-level performance optimisation, targeting current multi/many-core Intel architectures. We identify and isolate a sample code kernel, which is representative of a typical Smoothed Particle Hydrodynamics (SPH) algorithm. The code modifications include […]
Dec, 20

Accelerating Spark RDD Operations with Local and Remote GPU Devices

Apache Spark is a distributed processing framework for large-scale data sets, where intermediate data sets are represented as RDDs (Resilient Distributed Datasets) and stored in memory distributed over machines. To accelerate its various computation intensive operations, such as reduction and sort, we focus on GPU devices. We modified Spark framework to invoke CUDA kernels when […]
Dec, 20

gpuSPHASE – A shared memory caching implementation for 2D SPH using CUDA

Smoothed particle hydrodynamics (SPH) is a meshless Lagrangian method that has been successfully applied to computational fluid dynamics (CFD), solid mechanics and many other multi-physics problems. Using the method to solve transport phenomena in process engineering requires the simulation of several days to weeks of physical time. Based on the high computational demand of CFD […]
Dec, 18

The 5th International Workshop on OpenCL (IWOCL), 2017

The International Workshop on OpenCL (IWOCL) is an annual meeting of OpenCL users, researchers, developers and suppliers to share OpenCL best practise, and to promote the evolution and advancement of the OpenCL standard. The meeting is open to anyone who is interested in contributing to, and participating in the OpenCL community. IWOCL is the premier […]
Dec, 18

International Conference on Biomacromolecules and Biomimetic Materials (ICBBM), 2017

2017 International Conference on Biomacromolecules and Biomimetic Materials (ICBBM 2017) will be held in Boracay, Philippine during March 6-12, 2017.The objective of ICBBM 2017 is to present the latest research and results of scientists related to Biomacromolecules and Biomimetic Materials topics. This conference provides opportunities for the different areas delegates to exchange new ideas and […]
Dec, 17

GPU-Based Nonlocal Filtering for Large Scale SAR Processing

In the past few years nonlocal filters have emerged as a serious contender for denoising synthetic aperture radar (SAR) images, offering superior noise reduction and detail preservation compared to many other filters. In this manuscript we analyze how nonlocal filters, whose computational costs were so far prohibitive for large scale processing, can be implemented efficiently […]
Dec, 17

Toward Automatic Translation: From OpenACC to OpenMP 4

For the past few years, OpenACC has been the primary directive-based API for programming accelerator devices like GPUs. OpenMP 4.0 is now a competitor in this space, with support from different vendors. In our work, we analyse the feasibility for automatic conversion from OpenACC to OpenMP 4. We describe an algorithm to convert OpenACC device […]
Dec, 17

Efficient Realization of Householder Transform through Algorithm-Architecture Co-design for Acceleration of QR Factorization

We present efficient realization of Householder Transform (HT) based QR factorization through algorithm-architecture co-design where we achieve performance improvement of 3-90x in-terms of Gflops/watt over state-of-the-art multicore, General Purpose Graphics Processing Units (GPGPUs), Field Programmable Gate Arrays (FPGAs), and ClearSpeed CSX700. Theoretical and experimental analysis of classical HT is performed for opportunities to exhibit higher […]
Dec, 17

Speedup for quantum optimal control from GPU-based automatic differentiation

We implement a quantum optimal control algorithm based on automatic differentiation and harness the acceleration afforded by graphics processing units (GPUs). Automatic differentiation allows us to specify advanced optimization criteria and incorporate them in the optimization process with ease. We demonstrate that the use of GPUs can speed up calculations by more than an order […]
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