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A parallel distributed CUDA implementation of a Lattice Boltzmann Method for multiphase flows with large density ratios is described in this paper. Validation runs studying the terminal velocity of a rising bubble under the effect of gravity show good agreement with the expected theoretical values. The code is benchmarked against the performance of a typical CPU implementation of the same algorithm...
Cosmological simulations are highly complicated, and it is time-consuming to redesign and reimplement the code for improvement. Moreover, it is a risk to implement any idea directly in the code without knowing its effects on performance. In this paper, we design an emulator for cell-based AMR (adaptive mesh refinement) cosmology simulations, in particular, the Adaptive Refinement Tree (ART) application...
Protein identification is an important objective for proteomic and medical sciences as well as for pharmaceutical industry. With recent large-scale automation of genome sequencing and the explosion of protein databases, it is important to exploit latest data processing technologies and design highly scalable algorithms to speed up protein identification. In this study, we design, implement, and evaluate...
Virtualization is a fundamental component in cloud computing because it provides numerous guest VM transparent services, such as live migration, high availability, rapid checkpoint, etc. However, I/O virtualization, particularly for network, is still suffering from significant performance degradation. In this paper, we analyze performance challenges in network I/O virtualization and observe that the...
With the growing prevalence of cloud computing and the increasing number of CPU cores in modern processors, symmetric multiprocessing (SMP) Virtual Machines (VM), i.e. virtual machines with multiple virtual CPUs, are gaining significance. However, accommodating SMP virtual machines with high availability at low overhead is still an open problem. Checkpoint-recovery based VM replication is an emerging...
Virtualized infrastructures have seen strong acceptance in data center systems and applications, but have not yet seen adoptance for latency-sensitive codes which require I/O to arrive predictability, or response times to be generated within certain timeliness guarantees. Examples of such applications include certain classes of parallel HPC codes, server systems performing phonecall or multimedia...
IT infrastructures in global corporations are appropriately compared with nervous systems, in which body parts (interconnected datacenters) exchange signals (request responses) in order to coordinate actions (data visualization and manipulation). A priori inoffensive perturbations in the operation of the system or the elements composing the infrastructure can lead to catastrophic consequences. Downtime...
Much of dense linear algebra has been successfully blocked to concentrate the majority of its time in the Level~3 BLAS, which are not only efficient for serial computation, but also scale well for parallelism. For the Hessenberg factorization, which is a critical step in computing the eigenvalues and vectors, however, performance of the best known algorithm is still strongly limited by the memory...
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