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    • 3. 发明申请
    • RUNSPACE METHOD, SYSTEM AND APPARATUS
    • RUNSPACE方法,系统和设备
    • US20110289507A1
    • 2011-11-24
    • US13086132
    • 2011-04-13
    • Rishi L. KhanDaniel OrozcoGuang R. Gao
    • Rishi L. KhanDaniel OrozcoGuang R. Gao
    • G06F9/46
    • G06F9/5066G06F8/451G06F9/5094G06F2209/501Y02D10/22Y02D10/36
    • The present invention, known as runspace, relates to the field of computing system management, data processing and data communications, and specifically to synergistic methods and systems which provide resource-efficient computation, especially for decomposable many-component tasks executable on multiple processing elements, by using a metric space representation of code and data locality to direct allocation and migration of code and data, by performing analysis to mark code areas that provide opportunities for runtime improvement, and by providing a low-power, local, secure memory management system suitable for distributed invocation of compact sections of code accessing local memory. Runspace provides mechanisms supporting hierarchical allocation, optimization, monitoring and control, and supporting resilient, energy efficient large-scale computing.
    • 称为运行空间的本发明涉及计算系统管理,数据处理和数据通信领域,特别涉及提供资源有效计算的协同方法和系统,特别是对于可执行于多个处理单元的可分解多组件任务, 通过使用代码和数据位置的度量空间表示来直接分配和迁移代码和数据,通过执行分析来标记为运行时改进提供机会的代码区域,以及提供适合于运行时的低功耗,本地,安全的存储器管理系统 用于分布式调用访问本地内存的代码的紧凑部分。 Runspace提供支持分层分配,优化,监控和控制的机制,并支持弹性,高能效的大规模计算。
    • 4. 发明授权
    • Efficient execution of parallel computer programs
    • 并行计算机程序的有效执行
    • US09542231B2
    • 2017-01-10
    • US13086132
    • 2011-04-13
    • Rishi L. KhanDaniel OrozcoGuang R. Gao
    • Rishi L. KhanDaniel OrozcoGuang R. Gao
    • G06F9/46G06F9/50G06F9/45
    • G06F9/5066G06F8/451G06F9/5094G06F2209/501Y02D10/22Y02D10/36
    • The present invention, known as runspace, relates to the field of computing system management, data processing and data communications, and specifically to synergistic methods and systems which provide resource-efficient computation, especially for decomposable many-component tasks executable on multiple processing elements, by using a metric space representation of code and data locality to direct allocation and migration of code and data, by performing analysis to mark code areas that provide opportunities for runtime improvement, and by providing a low-power, local, secure memory management system suitable for distributed invocation of compact sections of code accessing local memory. Runspace provides mechanisms supporting hierarchical allocation, optimization, monitoring and control, and supporting resilient, energy efficient large-scale computing.
    • 称为运行空间的本发明涉及计算系统管理,数据处理和数据通信领域,特别涉及提供资源有效计算的协同方法和系统,特别是对于可执行于多个处理单元的可分解多组件任务, 通过使用代码和数据位置的度量空间表示来直接分配和迁移代码和数据,通过执行分析来标记为运行时改进提供机会的代码区域,以及提供适合于运行时的低功耗,本地,安全的存储器管理系统 用于分布式调用访问本地内存的代码的紧凑部分。 Runspace提供支持分层分配,优化,监控和控制的机制,并支持弹性,高能效的大规模计算。