کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
424506 685582 2016 12 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
A user mode CPU–GPU scheduling framework for hybrid workloads
ترجمه فارسی عنوان
چارچوب برنامه ریزی CPU-GPU حالت کاربر برای کارهای هیبریدی
کلمات کلیدی
حجم کاری هیبریدی؛ مدیریت منابع CPU-GPU؛ برنامه ریزی؛ کنترل تغییر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی


• We propose a user mode framework for CPU-GPU hybrid resource management.
• We analysis the drawbacks of the existing GPU and CPU scheduling systems.
• vHybrid is integrated by one GPU algorithm and two algorithms for CPU scheduling.
• The result outperforms existing SLA-aware GPU and CPU scheduling systems.

Cloud platforms composed of multi-core CPU and many-core Graphics Processing Unit (GPU) have become powerful platforms to host incremental CPU–GPU workloads. In this paper, we study the problem of optimizing the CPU resource management while keeping the quality of service (QoS) of games. To this end, we propose vHybrid, a lightweight user mode runtime framework, in which we integrate a scheduling algorithm for GPU and two algorithms for CPU to efficiently utilize CPU resources with the control accuracy of QoS. vHybrid can maintain the desired QoS with low CPU utilization, while being able to guarantee better QoS performance with little overhead. Our evaluations show that vHybrid saves 37.29% of CPU utilization with satisfactory QoS for hybrid workloads, and reduces three orders of magnitude for QoS fluctuations, without any impact on GPU workloads.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 63, October 2016, Pages 25–36
نویسندگان
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