Dynamic voltage scaling (DVS) is widely recognized as an effective way to reduce high CPU power consumption. The technique trades CPU performance for power reduction and energy savings. As a result, there have been many proposals on how to effectively manage a DVS processor to minimize the CPU power consumption while keeping the performance degradation within an acceptable range. Most of these ...

Today’s operating systems provide non-physical true random number generators which are based on hardware events. With the advent of virtualization and the ever growing need of more high-quality entropy, these random number generators reach their limits. Additional sources of entropy must be opened up. This document introduces an entropy source based on CPU execution time jitter. The design and ...

Sequence homology searches are used in various fields and require large amounts of computation time, especially for metagenomic analysis, owing to the large number of queries and the database size. To accelerate computing analyses, graphics processing units (GPUs) are widely used as a low-cost, high-performance computing platform. Therefore, we mapped the time-consuming steps involved in GHOSTZ...

In Virtualization technology the CPU scheduling is crucial. How to adjust the virtual machine corresponding to the physical machine will affect the overall system performance. According to the Xen Credit Scheduler, each virtual CPU is asynchronously assigned to a physical CPU, but in the concurrent program it will result in considerable waste of CPU time. In this paper, a solution is proposed f...

In this paper, we propose a way to distribute the video analytics workload into both the CPU and GPU, with a performance prediction model including characteristics of feature extraction from the video stream data. That is, we estimate the total execution time of a CPU-GPU hybrid computing system with the performance prediction model, and determine the optimal workload ratio and how to use the C...

CPU/GPU heterogeneous computing has become a tendency in scientific and engineering computing. The conventional computation models cannot be used to estimate the application running time under the CPU/GPU heterogeneous computing environment. In this paper, a new model named mHLogGP is presented on the basis of mPlogP, LogGP and LogP. In mHLogGP, he communication and memory access is abstracted ...

Techniques for predicting the availability of CPU resources associated with the execution of multiple concurrent Java threads on a multi-core architecture are introduced. Prediction of CPU availability is important in the context of making thread assignment and scheduling decisions. Theoretically derived upper and lower bound formulas for estimating CPU availability are introduced. Input parame...