The Experts below are selected from a list of 30 Experts worldwide ranked by ideXlab platform
Laura Hoch - One of the best experts on this subject based on the ideXlab platform.
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Understanding The Linux virtual memory manager
2016Co-Authors: Laura HochAbstract:understanding the linux virtual memory manager is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the understanding the linux virtual memory manager is universally compatible with any devices to read.
Scott A Brandt - One of the best experts on this subject based on the ideXlab platform.
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gdev first class gpu resource management in the operating system
USENIX Annual Technical Conference, 2012Co-Authors: Shinpei Kato, Michael Mcthrow, Carlos Maltzahn, Scott A BrandtAbstract:Graphics processing units (GPUs) have become a very powerful platformembracing a concept of heterogeneous many-core computing. However, application domains of GPUs are currently limited to specific systems, largely due to a lack of "first-class" GPU resource management for general-purposemulti-tasking systems. We present Gdev, a new ecosystem of GPU resource management in the operating system (OS). It allows the user space as well as the OS itself to use GPUs as first-class computing resources. Specifically, Gdev's virtual memory manager supports data swapping for excessive memory resource demands, and also provides a shared devicememory functionality that allows GPU contexts to communicate with other contexts. Gdev further provides a GPU scheduling scheme to virtualize a physical GPU into multiple logical GPUs, enhancing isolation among working sets of multi-tasking systems. Our evaluation conducted on Linux and the NVIDIA GPU shows that the basic performance of our prototype implementation is reliable even compared to proprietary software. Further detailed experiments demonstrate that Gdev achieves a 2x speedup for an encrypted file system using the GPU in the OS. Gdev can also improve the makespan of dataflow programs by up to 49% exploiting shared device memory, while an error in the utilization of virtualized GPUs can be limited within only 7%.
Mel Gorman - One of the best experts on this subject based on the ideXlab platform.
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understanding the linux virtual memory manager
2004Co-Authors: Mel GormanAbstract:Finally, a comprehensive guide to the Linux VM!VM's behavior affects every Linux kernel subsystem and dramatically impacts overall performance. But until now, there was only one way to understand VM: study the poorly documented source one line at a time. Now there's an easier, faster alternative. This book describes VM in unprecedented detail, presenting both theoretical foundations and a line-by-line source code commentary. It systematically covers everything from physical memory description to out-of-memory management. Coverage includes: Linux VM 2.4 architecture in depth-with diagrams and call graphs Physical memory description, page tables, address spaces, and memory allocation High memory, swapping, shared memory, and much more Expert guidance for analyzing the code of any open source project New Linux 2.6 kernel features in every chapterWell organized and superbly written, Understanding the Linux virtual memory manager will be indispensable to every kernel programmer and researcher.
Shinpei Kato - One of the best experts on this subject based on the ideXlab platform.
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gdev first class gpu resource management in the operating system
USENIX Annual Technical Conference, 2012Co-Authors: Shinpei Kato, Michael Mcthrow, Carlos Maltzahn, Scott A BrandtAbstract:Graphics processing units (GPUs) have become a very powerful platformembracing a concept of heterogeneous many-core computing. However, application domains of GPUs are currently limited to specific systems, largely due to a lack of "first-class" GPU resource management for general-purposemulti-tasking systems. We present Gdev, a new ecosystem of GPU resource management in the operating system (OS). It allows the user space as well as the OS itself to use GPUs as first-class computing resources. Specifically, Gdev's virtual memory manager supports data swapping for excessive memory resource demands, and also provides a shared devicememory functionality that allows GPU contexts to communicate with other contexts. Gdev further provides a GPU scheduling scheme to virtualize a physical GPU into multiple logical GPUs, enhancing isolation among working sets of multi-tasking systems. Our evaluation conducted on Linux and the NVIDIA GPU shows that the basic performance of our prototype implementation is reliable even compared to proprietary software. Further detailed experiments demonstrate that Gdev achieves a 2x speedup for an encrypted file system using the GPU in the OS. Gdev can also improve the makespan of dataflow programs by up to 49% exploiting shared device memory, while an error in the utilization of virtualized GPUs can be limited within only 7%.
Muthukumaraswamy Sivakumar - One of the best experts on this subject based on the ideXlab platform.
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An Evaluation of the Linux virtual memory manager to Determine Suitability for Runtime Variation of memory
2007Co-Authors: Vijay Kumar, Muthukumaraswamy Sivakumar, Godmar Back, J. Ribbens, W. CameronAbstract:Systems that support virtual memory virtualize the available physical memory such that the applications running on them operate under the assumption that these systems have a larger amount of memory available than is actually present. The memory managers of these systems manage the virtual and the physical address spaces and are responsible for converting the virtual addresses used by the applications to the physical addresses used by the hardware. The memory managers assume that the amount of physical memory is constant and does not change during their period of operation. Some operating scenarios however, such as the power conservation mechanisms and virtual machine monitors, require the ability to vary the physical memory available at runtime, thereby making invalid the assumptions made by these memory managers. In this work we evaluate the suitability of the Linux memory manager, which assumes that the available physical memory is constant, for the purposes of varying the memory at run time. We have implemented an infrastructure over the Linux 2.6.11 kernel that enables the user to vary the physical memory available to the system. The availabl
