Alexander Bussiere
When designing a safety system, the faster the response time, the greater the reflexes of the system to hazards. As more commercial interest in autonomous and assisted vehicles grows, the number one concern is safety. If the system cannot react as fast as or faster than an average human, then the public will deem it […]
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Chhaya Patel
The objective of this paper is to use different optimization strategies on multicore GPU architecture. Here for performance evaluation we have used parallel reduction algorithm. GPU on-chip shared memory is very fast than local and global memory. Shared memory latency is roughly 100x lower than non-cached global memory (make sure that there are no bank […]
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Ru Zhu
A finite-difference Micromagnetic simulation code written in MATLAB is presented with Graphics Processing Unit (GPU) acceleration. The high performance of Graphics Processing Unit (GPU) is demonstrated compared to a typical Central Processing Unit (CPU) based code. The speed-up of GPU to CPU is shown to be greater than 30 for problems with larger sizes on […]
Jan Verschelde, Xiangcheng Yu
Numerical continuation methods apply predictor-corrector algorithms to track a solution path defined by a family of systems, the so-called homotopy. The systems we consider are defined by polynomials in several variables with complex coefficients. For larger dimensions and degrees, the numerical conditioning worsens and hardware double precision becomes often insufficient to reach the end of […]
Ran Rui, Hao Li, Yi-Cheng Tu
Implementing database operations on parallel platforms has gain a lot of momentum in the past decade, due to the increasing popularity of many-core processors. A number of studies have shown the potential of using GPUs to speed up database operations. In this paper, we present empirical evaluations of a state-of-the-art work published in SIGMOD’08 on […]
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Li Huaming, Kang Baosheng
With the development of the simulation technique, deformable cloth simulation has become highly desired. It can be widely used in many fields such as game, animation, virtual surgery, etc. Real-time algorithm is the most urgent bottleneck problem that needs to be solved. This paper introduces a solution to implement deformable simulation of cloth in real […]
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Ana Lucia Varbanescu, Merijn Verstraaten, Cees de Laat, Ate Penders, Alexandru Iosup, Henk Sips
Due to increasingly large datasets, graph analytics – traversals, all-pairs shortest path computations, centrality measures, etc. – are becoming the focus of high-performance computing (HPC). Because HPC is currently dominated by many-core architectures (both CPUs and GPUs), new graph processing solutions have to be defined to efficiently use such computing resources. Prior work focuses on […]
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Roman Iakymchuk, David Defour, Sylvain Collange, Stef Graillat
Due to non-associativity of floating-point operations and dynamic scheduling on parallel architectures, getting a bitwise reproducible floating-point result for multiple executions of the same code on different or even similar parallel architectures is challenging. In this paper, we address the problem of reproducibility in the context of matrix multiplication and propose an algorithm that yields […]
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Dip Sankar Banerjee
The computing industry has undergone several paradigm shifts in the last few decades. Fueled by the need of faster computing, larger data and real time processing needs parallel computing has emerged as one of the dominant paradigms. Motivated by the success achieved in distributed computing models and the limitations faced by single core processors, parallel […]
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Matija Korpar, Martin Sosic, Dino Blazeka, Mile Sikic
The deluge of next-generation sequencing (NGS) data and expanding database poses higher requirements for protein similarity search. State-of-the-art tools such as BLAST are not fast enough to cope with these requirements. Because of that it is necessary to create new algorithms that will be faster while keeping similar sensitivity levels. The majority of protein similarity […]
Amlan Chatterjee
The availability of Graphics Processing Units (GPUs) with multicore architecture have enabled parallel computations using extensive multi-threading. Recent advancements in computer hardware have led to the usage of graphics processors for solving general purpose problems. Using GPUs for computation is a highly efficient and low-cost alternative as compared to currently available multicore Central Processing Units […]
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Craig Stringham, David G. Long
Unmanned air systems (UAS) provide an excellent platform for synthetic aperture radar (SAR), enabling surveillance and research over areas too difficult, dangerous, or costly to reach using manned aircraft. However, the nimble nature of the small UAS makes them more susceptible to external forces, thus requiring significant motion compensation in order for SAR images to […]
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Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
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  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
Node 2
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  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: AMD APP SDK 2.9

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