cpu-central processing units IEEE PAPER 2017






Analyzing memory management methods on integratedCPU -GPU systems
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Abstract Heterogeneous systems that integrate a multicoreCPUand a GPU on the same die are ubiquitous. On these systems, both theCPUand GPU share the same physical memory as opposed to using separate memory dies. Although integration eliminates the need to

Design, Implementation and Trial Evaluation ofCPUSimulator to Visualize Register-transfer level Micro-Operation
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ABSTRACT This paper proposes a new educational tool for Computer Architecture, which can provide simulation of assembly program code (instead of machine language), demonstration of several kinds of sample programs and visualization of register-transferlevel

Energy Efficient Real-time Task Scheduling onCPU -GPU Hybrid Clusters
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Abstract Conserving the energy consumption of large data centers is of critical significance, where a few percent in consumption reduction translates into millions-dollar savings. This work studies energy conservation on emergingCPU -GPU hybrid clusters

Energy-AwareCPUFrequency Scaling for Mobile Video Streaming
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Abstract The energy consumed by video streaming includes the energy consumed for data transmission andCPUprocessing, which are both affected by theCPUfrequency. HighCPU frequency can reduce the data transmission time but it consumes moreCPUenergy. Low

CPUand GPU Behaviour Modelling Versus Sequential and Parallel Bias Field Correction Fuzzy C-means Algorithm Implementations
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Abstract The correction of images corrupted by bias field artefact is still challenging task both at accuracy level as on the computational plane. The work in this paper focus on the second constraint by giving mathematical models of experimental execution time per iteration ETPI

An Optimal Mathematical Approach forCPUScheduling OMDRRS vs. RR
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Abstract Prime objective of this paper is to estimate turnaround time, waiting time and context switch of any process inCPUscheduling mathematically.CPUscheduling has an esteemed impact on utilization of resources and total quality of the system. The management

Power-Performance Tradeoffs in Data Center Servers: DVFS,CPUpinning, Horizontal, and Vertical Scaling
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Abstract Dynamic Voltage and Frequency Scaling (DVFS),CPUpinning, horizontal, and vertical scaling, are four techniques that have been proposed as actuators to control the performance and energy consumption on data center servers. This work investigates the

Energy consumption optimization of the Total-FETI solver by changing theCPUfrequency
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The paper deals with the energy consumption evaluation of the Finite Element Tearing and Interconnect (FETI) based solvers of linear systems, which is an established method for solving real-world engineering problems. Authors evaluated the effect of theCPUfrequency

Frequency Domain Acceleration of Convolutional Neural Networks onCPU -FPGA Shared Memory System.
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VGG16 CONV Layer (GFLOP) Space Convolution Overlap-and-Add Page 15. 15 Mapping Choices
onCPUand FPGAConvolutional layer occupies over 90% of the total computation time.The
2D convolution operation can be fully pipelined and parallelized when transformed into frequency

Achieving Portable Performance for GTC-P with OpenACC on GPU, multi-coreCPU , and Sunway Many-core Processor
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Page 1. Achieving Portable Performance for GTC-P with OpenACC on GPU, multi-coreCPU ,
and Sunway Many-core Processor Stephen Wang†1, James Lin†1,4, William Tang†2, Stephane
Ethier†2, Bei Wang†2, Simon See†1,3 and Satoshi Matsuoka†4array[thread-id][n] - copy for T3

A New Multi-coreCPUResource Availability Prediction Model for Concurrent Processes
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Abstract The efficiency of a multi-core architecture is directly related to the mechanisms that map the threads (processes in execution) to the cores. Determining theCPUresource availability of a multi-core architecture based on the characteristics of the threads that are in

Simulations of Coherent Synchrotron Radiation on Parallel Hybrid GPU/ CPUPlatform
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Abstract Coherent synchrotron radiation (CSR) is an effect of selfinteraction of an electron bunch as it traverses a curved path. It can cause a significant emittance degradation, as well as fragmentation and microbunching. Numerical simulations of the 2D/3D CSR effects have

User priority based efficientCPUscheduler algorithm for real time systems
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Operating systems at present face a large workload and are restricted by limited processing power. This may lead to lower than expected performance in practice. To counter this the operating system can apply an organizing algorithm to execute the required processes in EXPLORING PROGRAMMING MODELS FOR ACCELERATING SCIENTIFIC APPLICATIONS ON HYBRIDCPU -MIC PLATFORMS
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Modern heterogeneous computing platforms have become powerful HPC solutions, which could be applied to a wide range of real-life applications. In particular, the hybrid platforms equipped with Intel Xeon Phi coprocessors offer the advantages of massively parallel

INTELLIGENT SCHEDULING FOR SIMULTANEOUSCPU -GPU APPLICATIONS
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ABSTRACT Heterogeneous computing systems with both general purpose multicore central processing units ( CPU ) and specialized accelerators has emerged recently. Graphics processing unit (GPU) is the most widely used accelerator. To fully utilize such a

Evaluating aCPU /GPU Implementation for Real-Time Ray Tracing
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Abstract Animated movies, CGI, and video games are commonplace in every day life. Virtual and Augmented Reality are becoming more pervasive in society, and with them, the role of Computer Graphics becomes even more important. Part of creating these experiences is

A unified GPU- CPUaeroelastic compressible URANS solver for aeronautical, turbomachinery and open rotors applications
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English abstract: For the aerodynamic design of aeronautical components Computational Fluid Dynamics (CFD) plays a fundamental role. Pure CFD analyses are usually sufficiently accurate for a wide range of problems. However, when the deformability of the structure

Novel Design ofCPUbased on All Arithmetic Logic Component
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Abstract-Reversible computing spans computational models that are both forward and backward deterministic. These models have applications in program inversion and bidirectional computing, and are also interesting as a study of theoretical properties. A

CPUPerformance in Data Migrating from Virtual Machine to Physical Machine in Cloud Computing
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Abstract: Cloud computing has a massive use of virtual machines to permit isolated workload to be used from one resource to the another and resource usages to be controlled. Migrating from one operating system to the other operating system is difficult. The virtual

OF COLLEGE STUDENTS AND FACTORS AFFECTING THEIR ENTREPRENEURIAL ATTITUDE: THE CASE OFCPUBUSINESS AND INFORMATION
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Abstract: Entrepreneurship becomes the driving force for economic development and job creation which requires continuous follow up and effort to look at it from youths perspectives. This study aimed to assess the entrepreneurial attitude and self efficacy of college students

Comparative Analysis of BasicCPUScheduling Algorithms
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Abstract Computer science is all about processes and commands running parallel. In computer, the processorCPU(Central Processing Unit) may contain different cores or single core and one core handle one process at a time. Running of processes in parallel pattern

Dynamic performance prediction for chunk-wise parallelization on heterogeneousCPU /GPU systems
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Abstract-Many aspects of heterogeneity in multicores such as performance variation may affect the overall execution time and cores efficiency. An effective mapping should support this variation. A complex challenge is cores load balancing to minimize the program

ANALYZINGCPUSCHEDULING ALGORITHMS ACCORDING TO WAITING TIMES-A CASE STUDY
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Abstract: In multiprocessing operating systems, maximumCPUutilization is one of the most important goals. To obtain the maximum rate, the processes in theCPUqueue must be scheduled properly. There are several scheduling algorithms to decide this process order as

REMOTE MONITORING SOLUTION: REVIEW OF OPENCPUTECHNOLOGY
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ABSTRACT In this paper approach to develop cost effective reliable remote monitoring system using M66 module pooled with openCPUtechnology. Designed remote monitoring system allows efficient, reliable and more precise monitoring and measurement of

The use of MARIECPUSimulator in Computer Architecture Course: A Case Study of students perception of learning and performance.
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ABSTRACT This study aims to show results of employing a case study in the use of Active Learning Practices in the Computer Architecture discipline. The practice in question is the use of Marie®CPUSimulator as a practical tool in the development of the course. The

A MMDBM Classifier withCPUand CUDA GPU computing in various sorting procedures
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S Selvarasu, G Periyanagounder, S Subbiah - umc.edu.dz Abstract: A decision tree classifier called Mixed Mode Database Miner (MMDBM) which is used to classify large number of datasets with large number of attributes is implemented with different types of sorting techniques (quick sort and radix sort) in both Central Processing

Deployment of IPv6-onlyCPUresources at WLCG sites
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Abstract. The fraction of Internet traffic carried over IPv6 continues to grow rapidly. IPv6 support from network hardware vendors and carriers is pervasive and becoming mature. A network infrastructure upgrade often offers sites an excellent window of opportunity to

Database-ManagedCPUPerformance Scaling for Improved Energy Efficiency
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ABSTRACT Dynamic voltage and frequency scaling (DVFS) is a technique for adjusting the speed and power consumption of processors, allowing performance to be traded for reduced power consumption. Since CPUs are typically the largest consumers of power in A High-Performance Crystal Plasticity Solver forCPU -GPU Architectures
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ABSTRACT We present a crystal plasticity (CP) solver that scales efficiently on heterogeneous computing clusters composed of CPUs and graphics processing units (GPUs). The approach makes use of a database containing a spectral decomposition of CP

PERFORMANCE ANALYSIS OF THE DESIGNEDCPUUSING GEM5 SIMULATOR
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ABSTRACT The gem5 is computer system simulator platform. This simulator provides features such as detailed and flexible memory system, including support for multiple cache coherence protocols and interconnects models. The gem5 simulator is the result of the

Design And Implementation OfCPUBy Reversible Logic Gates
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Abstract-Digital system implemented by using conventional gates like AND and OR gates dissipates a major amount of energy in the form of bits which gets erased during logical operations. This problem of energy loss can be solved by using reversible logic circuits in

AComparative EVALUATION OF THE GPU VS. THECPUFOR PARALLELIZATION OF EVOLUTIONARY ALGORITHMS THROUGH MULTIPLE INDEPENDENT
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ABSTRACT Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the efficiency of parameter tuning or to speed up optimizations involving inexpensive fitness functions. A GPU platform is commonly adopted in the research

BEST TIME QUANTUM ROUND ROBINCPUSCHEDULING ALGORITHM
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Abstract- CPUScheduling is one of the fundamental concepts of Operating System. The performance of the system depends on theCPUscheduling algorithms. The main aim of the CPUscheduling algorithms is to minimize waiting time, turnaround time, response time and

Utilization of a web browser for complex heterogeneous parallel computing using multi-coreCPU /GPU systems
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Utilization of a web browser for complex heterogeneous parallel computing using multi-core CPU /GPU systems Marek Woda, Adam Hajduga Department of Computer Engineering Wroc law University of Technology 11/17 Janiszewskiego, 50-372 Wroc law, Poland marek. woda@

CLOUD GAMING PROPOSES GPU/ CPUHYBRID CLUSTER ON THE USER LEVEL VIRTUALIZATION
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ABSTRACT The GCloud, a GPU/ CPUhybrid cluster for cloud gaming based on the userlevel virtualization technology. Specially, we present a performance model to analyze the server-capacity and games resource-consumptions, which categorizes games into two
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