Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Publication
- Publication Type
Articles 1 - 3 of 3
Full-Text Articles in Engineering
The Thermal-Constrained Real-Time Systems Design On Multi-Core Platforms -- An Analytical Approach, Shi Sha
The Thermal-Constrained Real-Time Systems Design On Multi-Core Platforms -- An Analytical Approach, Shi Sha
FIU Electronic Theses and Dissertations
Over the past decades, the shrinking transistor size enabled more transistors to be integrated into an IC chip, to achieve higher and higher computing performances. However, the semiconductor industry is now reaching a saturation point of Moore’s Law largely due to soaring power consumption and heat dissipation, among other factors. High chip temperature not only significantly increases packing/cooling cost, degrades system performance and reliability, but also increases the energy consumption and even damages the chip permanently. Although designing 2D and even 3D multi-core processors helps to lower the power/thermal barrier for single-core architectures by exploring the thread/process level parallelism, the …
Location Of Processor Allocator And Job Scheduler And Its Impact On Cmp Performance, Dawid Zydek, Grzegorz Chmaj, Alaa Shawky, Henry Selvaraj
Location Of Processor Allocator And Job Scheduler And Its Impact On Cmp Performance, Dawid Zydek, Grzegorz Chmaj, Alaa Shawky, Henry Selvaraj
Electrical & Computer Engineering Faculty Research
High Performance Computing (HPC) architectures are being developed continually with an aim of achieving exascale capability by 2020. Processors that are being developed and used as nodes in HPC systems are Chip Multiprocessors (CMPs) with a number of cores. In this paper, we continue our effort towards a better processor allocation process. The Processor Allocator (PA) and Job Scheduler (JS) proposed and implemented in our previous works are explored in the context of its best location on the chip. We propose a system, where all locations on a chip can be analyzed, considering energy used by Network-on-Chip (NoC), PA and …
Power Management For Gpu-Cpu Heterogeneous Systems, Xue Li
Power Management For Gpu-Cpu Heterogeneous Systems, Xue Li
Masters Theses
In recent years, GPU-CPU heterogeneous architectures have been increasingly adopted in high performance computing, because of their capabilities of providing high computational throughput. However, current research focuses mainly on the performance aspects of GPU-CPU architectures, while improving the energy efficiency of such systems receives much less attention. There are few existing efforts that try to lower the energy consumption of GPU-CPU architectures, but they address either GPU or CPU in an isolated manner and thus cannot achieve maximized energy savings. In this paper, we propose GreenGPU, a holistic energy management framework for GPU-CPU heterogeneous architectures. Our solution features a two-tier …