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https://en.wikipedia.org/wiki/Preemption_(computing)
In preemptive multitasking, the operating system kernel can also initiate a context switch to satisfy the scheduling policy's priority constraint, thus preempting the active task. In general, preemption means "prior seizure of". When the high priority task at that instance seizes the currently running task, it is known as preemptive scheduling.
https://www.uio.no/studier/emner/matnat/ifi/INF3151/h11/undervisningsmateriale/preemptive.pdf
Mutual Exclusion with Hardware Support ... • Preemptive scheduling (timer and I/O interrupts) ‒ Current process or thread will loose control at any time without even discovering this, and another will start executing • Access to shared resources must be synchronized .
https://upcommons.upc.edu/bitstream/handle/2117/26093/isca2014.pdf
scheduling policies, (2) extensions for concurrent execution of different processes on GPUs that allow implementing spatial sharing, and (3) a scheduling policy that dynamically assigns disjoint sets of GPU cores to different processes. Experimen-tal evaluation shows that the hardware support for preemptive
http://on-demand.gputechconf.com/gtc/2014/poster/pdf/P4265_preemptive_multiprogramming_scheduling.pdf
Hardware Support for GPU Multiprogramming ... (FCFS) and non -preemptive PQ. Benefits increase with the number of processes (2 to 8) competing for the GPU . Benchmarks are grouped by their execution time. Normalized Turnaround Time improvement with Çvu] ^ ]o^Z ]vP (DSS) scheduler Benefits of preemptive scheduling on latency sensitive kernels ...
https://www.sciencedirect.com/topics/computer-science/preemptive-scheduling
When looking at the type of activities in a problem, we distinguish non-preemptive scheduling, preemptive scheduling, and elastic scheduling. In non-preemptive scheduling, activities cannot be interrupted. ... Efficient hardware solutions must support a low overhead …
https://people.engr.ncsu.edu/xshen5/Publications/ppopp17.pdf
efficient preemptive scheduling of GPU kernels is possi-ble even without special hardware support. Specifically, it presents EffiSha, a pure software framework that enables preemptive scheduling of GPU kernels with very low over-head. The enabled preemptive scheduler offers flexible sup-port of kernels of different priorities, and ...
https://www.sciencedirect.com/science/article/pii/S1383762118300729
Preemption support: hardware-based. Tanasic et al. ... GPUsync , is a non-preemptive scheduling framework aiming at multi-GPU multi-core real-time systems. GPUsync provides a broad range of features for managing multiple GPUs, such as kernel migration amongst GPUs. GPUsync views GPU scheduling as a synchronization problem instead of a ...Author: Christoph Hartmann, Ulrich Margull
https://www.usenix.org/system/files/nsdi19-kaffes.pdf
that uses hardware support for virtualization to make preemption practical at the microsecond scale. This al-lows Shinjuku to implement centralized scheduling poli-cies that preempt requests as often as every 5msec and work well for both light and heavy tailed request service time distributions. We demonstrate that Shinjuku pro-Cited by: 12
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