5篇
您的检索式：作者名="Tyler Allen"
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| 1 | Calibration of smart antenna systems: measurements and results 显示文摘 | Tyler N Allen B Aghvami A H | 2007 | IET Microwaves Antennas and Propagation2007，1，3： | 1 |
| 2 | Integrated and passive 1,2,3-triazolyl groups in fluorescent indicators for zinc (Ⅱ) ions:thermodynamic and kinetic evaluations显示文摘 | Tyler J Simmons John R Allen Deborah R Morris | | 0，，： | 1 |
| 3 | Lipid composition of the hydrothermal vent clam Calyptogena pacifica (Mollusca:Bivalvia) as a trophic indicator显示文摘 | Allen C E Tyler P A Van dover C L | 2001 | Journal of the Marine Biological Association of the United Kingdom2001，81，： | 1 |
| 4 | Calibration of smartantenna systems:measurements and results显示文摘 | Tyler N Allen B Aghvami A H | 2007 | IETMicrowave Antennas&Propagation2007，1，3： | 1 |
| 5 | The Paradigm of Power Bounded High-Performance Computing显示文摘Modern computer systems are increasingly bounded by the available or permissible power at multiple layers from individual components to data centers.To cope with this reality,it is necessary to understand how power bounds im-pact performance,especially for systems built from high-end nodes,each consisting of multiple power hungry components.Because placing an inappropriate power bound on a node or a component can lead to severe performance loss,coordinat-ing power allocation among nodes and components is mandatory to achieve desired performance given a total power bud-get.In this article,we describe the paradigm of power bounded high-performance computing,which considers coordinated power bound assignment to be a key factor in computer system performance analysis and optimization.We apply this paradigm to the problem of power coordination across multiple layers for both CPU and GPU computing.Using several case studies,we demonstrate how the principles of balanced power coordination can be applied and adapted to the inter-play of workloads,hardware technology,and the available total power for performance improvement. | Rong Ge Xizhou Feng Pengfei Zou Tyler Allen | 2023 | Journal of Computer Science & Technology2023，38，1： | 0 |
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