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Simulation of activated sludge model (ASM) including detailed biokinetic reaction network often requires the solution of a large system of ordinary differential equations (ODEs) at each time frame, which requires long computing times. In this study, an adaptive time step backward differentiation formula (BDF) is proposed to solve the ASM's system of ODEs that mainly contains a high degree of stiffness...
Using GPUs reduces execution time of many applications but increases acquisition cost and power consumption. Furthermore, GPUs usually attain a relatively low utilization. In this context, remote GPU virtualization solutions were recently created to overcome the drawbacks of using GPUs. Currently, many different remote GPU virtualization frameworks exist, all of them presenting very different characteristics...
Utilizing accelerators in heterogeneous systems is an established approach for designing peta-scale applications. Today, CUDA offers a rich programming interface for GPU accelerators but requires developers to incorporate several layers of parallelism on both CPU and GPU. From this increasing program complexity emerges the need for sophisticated performance tools. This work contributes by analyzing...
More and more computationally intensive scientific applications make use of hardware accelerators like general purpose graphics processing units (GPGPUs). Compared to software development for typical multi-core processors their programming is fairly complex and needs hardware specific optimizations to utilize the full computing power. To achieve high performance, critical parts of a program have to...
GPUs and other accelerators are available on many different devices, while GPGPU has been massively adopted by the HPC research community. Although a plethora of libraries and applications providing GPU support are available, the need of implementing new algorithms from scratch, or adapting sequential programs to accelerators, will always exist. Writing CUDA or OpenCL codes, although an easier task...
Boolean satisfiability problem (SAT) is an NP-complete decision problem for determining whether there exists a variable assignment making a Boolean expression satisfiable (TRUE). SAT has been the cornerstone for various Computer Engineering applications. Numerous algorithms for solving SAT exist with varying degrees of completeness and complexity. A class of SAT algorithms based on stochastic local...
Parallelization of VLSI routing algorithms is one of the challenging problems in VLSI physical design. This is due to a large number of nets as well as the shared routing resources that result in data dependency among concurrent tasks. In this paper, VLSI Maze routing using GPGPU has been proposed to enable runtime performance improvement. We report up to 3× performance gain with an average of 25%...
Dynamic scheduling and varying decomposition granularity are well-known techniques for achieving high performance in parallel computing. Heterogeneous clusters with highly data-parallel processors, such as GPUs, present unique problems for the application of these techniques. These systems reveal a dichotomy between grain sizes: decompositions ideal for the CPUs may yield insufficient data-parallelism...
This paper describes vCUDA, a general-purpose graphics processing unit (GPGPU) computing solution for virtual machines (VMs). vCUDA allows applications executing within VMs to leverage hardware acceleration, which can be beneficial to the performance of a class of high-performance computing (HPC) applications. The key insights in our design include API call interception and redirection and a dedicated...
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