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To satisfy growing computational demands of modern applications, significant enhancements have been introduced in the contemporary processor architectures with the aim to increase their attainable performance, such as increased number of cores, improved capability of memory subsystem and enhancements in the processor pipeline [1]. Therefore, the performance improvements are usually coupled with an...
Molecular dynamics simulations, an indispensable research tool in computational chemistry and materials science, consume a significant portion of the supercomputing cycles around the world. We focus on multi-body potentials and aim at achieving performance portability. Compared with well-studied pair potentials, multibody potentials deliver increased simulation accuracy but are too complex for effective...
Incorporating MPI programming model into data-intensive file system for big data application is significant in performance research for optimization purpose. In this paper we ported an MPI-SVM solver, originally developed for HPC environment to the Hadoop distributed file system (HDFS). We analyzed the performance bottlenecks with which the SVM solver will be confronted on the HDFS. It is known the...
Designed with the goal of mimicking key features of real HPC workloads, mini-apps have become an important tool for co-design. An investigation of mini-app behavior can provide system designers with insight into the impact of architectures, programming models, and tools on application performance. Mini-apps can also serve as a platform for fast algorithm design space exploration, allowing the application...
Graphics Processing Unit (GPU)-based parallel computer architectures have shown increased popularity as a building block for high performance computing, and possibly for future Exascale computing. However, their programming complexity remains as a major hurdle for their widespread adoption. To provide better abstractions for programming GPU architectures, researchers and vendors have proposed several...
Over the last few years, we have witnessed the proliferation of GPU devices on HPC environments. Manufacturers produce new versions of their devices every few years, though, posing a new problem for scientists and engineers using their technology: is it worth the time and effort spent optimizing the codes for the current version? Or it is better to wait until a new architecture appears? In this paper,...
A key step in program performance optimization is to determine optimal values for certain parameters. Static approaches determine these values based on analytical models. However, complex computer architectures and complex code structures limit the strength of them. Execution-driven approaches like iterative compilation determine these parameter values by executing the program with different parameter...
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