Posts
Nov, 6
Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications
We present a scalable dissipative particle dynamics simulation code, fully implemented on the Graphics Processing Units (GPUs) using a hybrid CUDA/MPI programming model, which achieves 10-30 times speedup on a single GPU over 16 CPU cores and almost linear weak scaling across a thousand nodes. A unified framework is developed within which the efficient generation […]
Nov, 6
Performance of Kepler GTX Titan GPUs and Xeon Phi System
NVIDIA’s new architecture, Kepler improves GPU’s performance significantly with the new streaming multiprocessor SMX. Along with the performance, NVIDIA has also introduced many new technologies such as direct parallelism, hyper-Q and GPU Direct with RDMA. Apart from other usual GPUs, NVIDIA also released another Kepler ‘GeForce’ GPU named GTX Titan. GeForce GTX Titan is not […]
Nov, 4
Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems
The performance of many GPU-based systems depends heavily on the effective bandwidth for transferring data between the processors. For realtime systems, the importance of data transfer rates may be even higher due to non-deterministic transfer times that limit the ability to satisfy response time requirements. We present a new method that allows real-time applications to […]
Nov, 4
DynaProg for Scala: A Scala DSL for Dynamic Programming on CPU and GPU
Dynamic programming is an algorithmic technique to solve problems that follow the Bellman’s principle: optimal solutions depends on optimal sub-problem solutions. The core idea behind dynamic programming is to memoize intermediate results into matrices to avoid multiple computations. Solving a dynamic programming problem consists of two phases: filling one or more matrices with intermediate solutions […]
Nov, 4
Use of Checkpoint-Restart for Complex HEP Software on Traditional Architectures and Intel MIC
Process checkpoint-restart is a technology with great potential for use in HEP workflows. Use cases include debugging, reducing the startup time of applications both in offline batch jobs and the High Level Trigger, permitting job preemption in environments where spare CPU cycles are being used opportunistically and efficient scheduling of a mix of multicore and […]
Nov, 4
Initial Explorations of ARM Processors for Scientific Computing
Power efficiency is becoming an ever more important metric for both high performance and high throughput computing. Over the course of next decade it is expected that flops/watt will be a major driver for the evolution of computer architecture. Servers with large numbers of ARM processors, already ubiquitous in mobile computing, are a promising alternative […]
Nov, 4
OpenCUDA+MPI: A Framework for Heterogeneous GP-GPU Distributed Computing
The introduction and rise of General Purpose Graphics Computing has significantly impacted parallel and high-performance computing. It has introduced challenges when it comes to distributed computing with GPUs. Current solutions target specifics: specific hardware, specific network topology, a specific level of processing. Those restrictions on GPU computing limit scientists and researchers in various ways. The […]
Nov, 3
PAKCK: Performance and Power Analysis of Key Computational Kernels on CPUs and GPUs
Recent projections suggest that applications and architectures will need to attain 75 GFLOPS/W in order to support future DoD missions. Meeting this goal requires deeper understanding of kernel and application performance as a function of power and architecture. As part of the PAKCK study, a set of DoD application areas, including signal and image processing […]
Nov, 3
Parallel CPU and GPU computations to solve the job shop scheduling problem with blocking
In this paper, we studied the parallelization of an exact method to solve the job shop scheduling problem with blocking JSB. We used a modeling based on graph theory exploiting the alternative graphs. We have proposed an original parallelization technique for performing a parallel computation in the various branches of the search tree. This technique […]
Nov, 3
A Fast and Secure Way to Prevent SQL Injection Attacks using Bitslice Technique and GPU Support
Most of the web applications are associated with database as back-end so there are possibilities of SQL injection attacks (SQLIA) on it. Even SQLIA is among top ten attacks according to Open Web Application Security Project (OWASP) but still approaches are not able to give proper solution to this problem. Numbers of measures are also […]
Nov, 3
A Computational Comparison of Basis Updating Schemes for the Simplex Algorithm on a CPU-GPU System
The computation of the basis inverse is the most time-consuming step in simplex type algorithms. This inverse does not have to be computed from scratch at any iteration, but updating schemes can be applied to accelerate this calculation. In this paper, we perform a computational comparison in which the basis inverse is computed with five […]
Nov, 3
Fast 3D Salient Region Detection in Medical Images using GPUs
Automated detection of visually salient regions is an active area of research in computer vision. Salient regions can serve as inputs for object detectors as well as inputs for region based registration algorithms. In this paper we consider the problem of speeding up computationally intensive bottom-up salient region detection in 3D medical volumes.The method uses […]
