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Showing 1 to 20 of 78 for “"Heterogeneous computing"”.
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Runtime Adaptation for Autonomic Heterogeneous Computing
Heterogeneity is increasing across all levels of computing, with the rise of accelerators such as GPUs, FPGAs, and other coprocessors into everything from cell phones to supercomputers. More quietly it is increasing with the rise of NUMA systems, hierarchical caching, OS noise, and a myriad of …
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A MapReduce Framework for Heterogeneous Computing Architectures
… of computational systems are equipped with heterogeneous compute resources, i.e., following different architecture. This applies to the level of a single chip, a single node and even supercomputers and large-scale clusters. With its impressive price-to-performance ratio as well as power …
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ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing
… one of GenSel’s underlying algorithms for heterogeneous computing. The resulting algorithm exposes task-level parallelism and data-level parallelism present but inaccessible in the original algorithm. The heterogeneous computing solution, ReGen, outperforms the optimized CPU implementation …
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Parallel and heterogeneous computing for static timing analysis
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Scalable heterogeneous computing with asynchronous message-driven execution
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms
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Enabling the use of Heterogeneous Computing for Bioinformatics
… sequencing and alignment processes. The use of heterogeneous systems, that use different types of computational units, has seen a new light in high performance computing in recent years; However expertise in multiple domains and skills required to program these systems is causing an hindrance to …
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Programming High-Performance Clusters with Heterogeneous Computing Devices
Today's high-performance computing (HPC) clusters are seeing an increase in the adoption of accelerators like GPUs, FPGAs and co-processors, leading to heterogeneity in the computation and memory subsystems. To program such systems, application developers typically employ a hybrid programming model …
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Towards Enhancing Performance, Programmability, and Portability in Heterogeneous Computing
The proliferation of a diverse set of heterogeneous computing platforms in conjunction with the plethora of programming languages and optimization techniques on each language for each underlying architecture exacerbate widespread adoption of such platforms. This is especially true for novice …
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Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems
… with multiple modes of parallelism has made heterogeneous computing systems indispensable in high performance computing. The popularity of such systems is evident from the fact that three out of the top five fastest supercomputers in the world employ heterogeneous computing, i.e., they use …
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Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing
… As a consequence, current high-performance computing (HPC) systems integrate a wide variety of compute resources with different capabilities and execution models, ranging from multi-core CPUs to many-core accelerators. While such heterogeneous systems can enable dramatic acceleration of user …
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Software architectural support for tangible user interfaces in distributed, heterogeneous computing environments
… interaction-based applications for distributed computing environments. Applications built with these tools are capable of utilizing heterogeneous resources for tangible interaction and can be reconfigured for different contexts with minimal code changes. Current trends in computing, especially …
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OODSF: an object-oriented data specification framework in a heterogeneous computing environment
… a C++ framework to facilitate programming in a heterogeneous distributed environment. Using the OODSF, C++ language bindings of commonly used specification languages, such as Abstract Syntax Notation 1 (ASN.l) and Interface Definition Language (IDL), can be defined. The OODSF defines C++ class …
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Analysis and Implementation Considerations of Krylov Subspace Methods on Modern Heterogeneous Computing Architectures
… which are ubiquitous throughout scientific computing. Even with Krylov methods, these problems are often infeasible to solve on standard workstation computers and must be solved instead on supercomputers. Most modern supercomputers fall into the category of “heterogeneous architectures”, …
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Improving Mobile SOC's Performance as an Energy Efficient DSP Platform with Heterogeneous Computing
… considered in everything from high performance computing to embedded applications. In this work, modern SOC's heterogeneous computing capabilities are evaluated with a focus toward digital signal processing (DSP). Evaluation is conducted on modern consumer devices running Android operating …
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A Work-Stealing For Dynamic Workload Balancing On CPU-GPU Heterogeneous Computing Platforms
… feature available on modern cpu-gpu heterogeneous systems. The implementation of bfs application on the top of our framework achieves a minimum of 8.5% performance improvement over the one with coarse-grained task partitioning scheme. It also achieves 16% performance improvement on …
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Generalizing the Utility of Graphics Processing Units in Large-Scale Heterogeneous Computing Systems
Today, heterogeneous computing systems are widely used to meet the increasing demand for high-performance computing. These systems commonly use powerful and energy-efficient accelerators to augment general-purpose processors (i.e., CPUs). The graphic processing unit (GPU) is one such accelerator. …
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Static-task scheduling incorporating precedence constraints and deadlines in a heterogeneous-computing environment / Michael D Niedert
… of optimally scheduling jobs on a cluster of heterogeneous machines to minimize the time at which the last machine finishes is NP-complete. Nonetheless, the choice of a heuristic algorithm greatly affects the speed of solution. This work evaluates a greedy algorithm, an A* algorithm, and a …
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Accelerating a Coupled SPH-FEM Solver through Heterogeneous Computing for use in Fluid-Structure Interaction Problems
This work presents a partitioned approach to simulating free-surface flow interaction with hyper-elastic structures in which a smoothed particle hydrodynamics (SPH) solver is coupled with a finite-element (FEM) solver. SPH is a mesh-free, Lagrangian numerical technique frequently employed to study …
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