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公开(公告)号：US11327973B2
公开(公告)日：2022-05-10
申请号：US16751317
申请日：2020-01-24
发明人： I-Hsin Chung , Jinjun Xiong , Carl Pearson
IPC分类号： G06F11/00 , G06F16/2455 , G06F11/34 , G06F11/30
摘要： Embodiments for providing critical path analysis of active trace files in a cloud computing environment. A critical path may be identified using a trace of time spans and activities of a plurality of applications, wherein the critical path is a set of activities having time spans free of overlap with other activities.
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公开(公告)号：US20180341530A1
公开(公告)日：2018-11-29
申请号：US16056670
申请日：2018-08-07
发明人： I-Hsin Chung , Huan Hu , Wei Tan
摘要： A temperature-aware task scheduling method, system, and computer program product, include determining a change in an operation intensity factor of the GPU from a previous state and modifying the operation intensity factor, in response to the determining the change in the operation intensity factor from the previous state.
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公开(公告)号：US20200167206A1
公开(公告)日：2020-05-28
申请号：US16777263
申请日：2020-01-30
发明人： I-Hsin Chung , Huan Hu , Wei Tan
摘要： A temperature-aware task scheduling method, system, and computer program product, includes obtaining a temperature of the GPU and accepting and executing the task to the GPU, in response to the obtaining a temperature of the GPU.
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4.发明授权Methodology for fast detection of false sharing in threaded scientific codes 有权用于快速检测线程科学代码中的虚假共享的方法公开(公告)号：US08898648B2
公开(公告)日：2014-11-25
申请号：US13689927
申请日：2012-11-30
发明人： I-Hsin Chung , Guojing Cong , Hiroki Murata , Yasushi Negishi , Hui-Fang Wen
CPC分类号： G06F11/3624
摘要： A profiling tool identifies a code region with a false sharing potential. A static analysis tool classifies variables and arrays in the identified code region. A mapping detection library correlates memory access instructions in the identified code region with variables and arrays in the identified code region while a processor is running the identified code region. The mapping detection library identifies one or more instructions at risk, in the identified code region, which are subject to an analysis by a false sharing detection library. A false sharing detection library performs a run-time analysis of the one or more instructions at risk while the processor is re-running the identified code region. The false sharing detection library determines, based on the performed run-time analysis, whether two different portions of the cache memory line are accessed by the generated binary code.
摘要翻译： 分析工具识别具有虚假共享潜力的代码区域。 静态分析工具将识别的代码区域中的变量和数组进行分类。 映射检测库将所识别的代码区域中的存储器访问指令与所识别的代码区域中的变量和数组相关联，同时处理器正在运行所识别的代码区域。 映射检测库识别在识别的代码区域中有风险的一个或多个指令，这些指令受到虚假共享检测库的分析。 虚假共享检测库在处理器重新运行所识别的代码区域时对处于风险中的一个或多个指令执行运行时分析。 假共享检测库基于执行的运行时分析来确定高速缓冲存储器行的两个不同部分是否被生成的二进制代码访问。
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公开(公告)号：US12061991B2
公开(公告)日：2024-08-13
申请号：US17029506
申请日：2020-09-23
发明人： Pin-Yu Chen , Sijia Liu , Chia-Yu Chen , I-Hsin Chung , Tsung-Yi Ho , Yun-Yun Tsai
IPC分类号： G06N3/094 , G06N3/08 , G06N3/096 , G06N20/00 , G06F18/213 , G06F18/2134 , G06F18/214
CPC分类号： G06N3/094 , G06N3/08 , G06N3/096 , G06N20/00 , G06F18/213 , G06F18/21347 , G06F18/214
摘要： Transfer learning in machine learning can include receiving a machine learning model. Target domain training data for reprogramming the machine learning model using transfer learning can be received. The target domain training data can be transformed by performing a transformation function on the target domain training data. Output labels of the machine learning model can be mapped to target labels associated with the target domain training data. The transformation function can be trained by optimizing a parameter of the transformation function. The machine learning model can be reprogrammed based on input data transformed by the transformation function and a mapping of the output labels to target labels.
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公开(公告)号：US20230297443A1
公开(公告)日：2023-09-21
申请号：US18201929
申请日：2023-05-25
发明人： I-Hsin Chung , Huan Hu , Wei Tan
CPC分类号： G06F9/5094 , G06T1/20 , G06F9/4893 , G06F3/061 , G06F3/0653 , G06F3/0673 , G06F9/5016 , G06T2200/28
摘要： A temperature-aware task scheduling method, system, and computer program product for facilitating a task in a multi-graphical processing unit (GPU) environment, includes executing the task to a GPU in the multi-GPU environment based on a thermal characteristic of the GPU as compared to the other GPUs in the multi-GPU environment.
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公开(公告)号：US10713257B2
公开(公告)日：2020-07-14
申请号：US15720345
申请日：2017-09-29
发明人： Eun Kyung Lee , I-Hsin Chung , Yoonho Park
IPC分类号： G06F16/2455 , G06F16/215 , G06F16/28 , G06F17/18
摘要： A data-centric reduction method, system, and computer program product include configuring a similarity threshold and a correlation threshold for an entire data set from at least two back-end nodes, reducing the entire data set to a reduced data set from the at least two back-end nodes sent to a front-end node by removing data based on the similarity threshold and the correlation threshold, and after the front-end receives the reduced data set, reconstructing the entire data set from the reduced data set using the similarity threshold and correlation threshold.
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公开(公告)号：US11048447B2
公开(公告)日：2021-06-29
申请号：US16656295
申请日：2019-10-17
发明人： Zaid Qureshi , I-Hsin Chung , Wen-Mei Hwu , Jinjun Xiong
IPC分类号： G06F3/06 , G06F12/1009
摘要： Embodiments for providing direct access to non-volatile memory by a processor. One or more accelerators may be provided, via an application programming interface (“API”), direct access to non-volatile storage independent of a host central processing unit (“CPU”) on a control path or data path to perform a read operation and write operation of data.
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公开(公告)号：US11042420B2
公开(公告)日：2021-06-22
申请号：US16777263
申请日：2020-01-30
发明人： I-Hsin Chung , Huan Hu , Wei Tan
摘要： A temperature-aware task scheduling method, system, and computer program product, includes obtaining a temperature of the GPU and accepting and executing the task to the GPU, in response to the obtaining a temperature of the GPU.
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公开(公告)号：US20190102432A1
公开(公告)日：2019-04-04
申请号：US15720345
申请日：2017-09-29
发明人： Eun Kyung Lee , I-Hsin Chung , Yoonho Park
IPC分类号： G06F17/30
CPC分类号： G06F16/24556 , G06F16/215 , G06F16/285 , G06F17/18
摘要： A data-centric reduction method, system, and computer program product include configuring a similarity threshold and a correlation threshold for an entire data set from at least two back-end nodes, reducing the entire data set to a reduced data set from the at least two back-end nodes sent to a front-end node by removing data based on the similarity threshold and the correlation threshold, and after the front-end receives the reduced data set, reconstructing the entire data set from the reduced data set using the similarity threshold and correlation threshold.
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