检索结果-内蒙古大学图书馆

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Shail Dave Aviral Shrivastava Youngbin Kim Sasikanth Avancha Kyoungwoo Lee Compiler Microarchitecture Lab Arizona State University Department of Computer Science Yonsei University Parallel Computing Lab Intel Labs

ISBN: (数字)9781509066315

ISBN: (纸本)9781509066322

Convolution neural networks (CNNs) can be efficiently executed on dataflow accelerators. However, the vast space of executing convolutions on computational and memory resources of accelerators makes difficult for programmers to automatically and efficiently accelerate the convolutions and for architects to achieve efficient accelerator designs. We propose dMazeRunner framework, which allows users to optimize execution methods for accelerating convolution and matrix multiplication on a given architecture and to explore dataflow accelerator designs for efficiently executing CNN models. dMazeRunner determines efficient dataflows tailored for CNN layers and achieves efficient execution methods for CNN models within several seconds.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Towards a GraphBLAS Implementation for Go

Towards a GraphBLAS Implementation for Go

引用

IEEE International Symposium on parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Pascal Costanza Ibrahim Hurt Timothy G. Mattson Intel Extreme Scale Computing Group Brussels Belgium Intel Extreme Scale Computing Group Hillsboro OR USA Intel Parallel Computing Lab Ocean Park WA USA

ISBN: (数字)9781665497473

ISBN: (纸本)9781665497480

The GraphBLAS are building blocks for constructing graph algorithms as linear algebra. They are defined mathematically with the goal that they would eventually map onto a variety of programming languages. Today they exist in C, C++, Python, MATlab®, and Julia. In this paper, we describe the GraphBLAS for the Go programming language. A particularly interesting aspect of this work is that using the concurrency features of the Go language, we aim to build a runtime system that uses the GraphBLAS nonblocking mode by default.

关键词： Concurrent computing Distributed processing Runtime Conferences Prototypes Linear algebra Licenses

来源：评论

学校读者我要写书评

暂无评论

Delayed Difference Scheme for Large Scale Scientific Simulations

引用

Physical Review Letters 2014年第21期113卷 218701-218701页

作者： Dheevatsa Mudigere Sunil D. Sherlekar Santosh Ansumali Parallel Computing Lab Intel Labs Bangalore 560103 India Engineering Mechanics Unit Jawaharlal Nehru Centre for Advanced Scientific Research Jakkur Bangalore 560064 India

We argue that the current heterogeneous computing environment mimics a complex nonlinear system which needs to borrow the concept of time-scale separation and the delayed difference approach from statistical mechanics and nonlinear dynamics. We show that by replacing the usual difference equations approach by a delayed difference equations approach, the sequential fraction of many scientific computing algorithms can be substantially reduced. We also provide a comprehensive theoretical analysis to establish that the error and stability of our scheme is of the same order as existing schemes for a large, well-characterized class of problems.

关键词： HETEROGENEOUS computing COMPUTER algorithms NONLINEAR dynamical systems STATISTICAL mechanics DIFFERENCE equations

来源：评论

学校读者我要写书评

暂无评论

Real-time-component based software architecture for QoS-adaptive networked multimedia applications

Real-time-component based software architecture for QoS-adap...

引用

13th IEEE International Symposium on Object, Component, and Service-Oriented Real-Time Distributed computing, ISORC 2010

作者： Colmenares, Juan A. Kim, K.H. Zhang, Zhen Lim, Chadeok Rim, Kee-Wook Parallel Computing Lab. CS Division University of California Berkeley United States EECS Department DREAM Lab. University of California Irvine United States Electronics and Telecom Research Institute Daejeon Korea Republic of Department of Computer Science Sunmoon University Korea Republic of

ISBN: (纸本)9780769540375

Highly desirable types of networked multimedia applications should adapt to changes in the environmental conditions in which they operate, such as communication bandwidth, available memory, and battery lifetime, while providing the best possible quality of service (QoS). In this paper we present a software architecture that facilitates the development of adaptive networked multimedia applications which meet this requirement. The proposed software architecture is based on the Time-triggered Message-triggered Object (TMO) programming scheme and it is implemented as a thin layer on top of the TMO Support Middleware (TMOSM). The new layer, called the QoS Adaptation Support Layer (QASL), includes monitoring and runtime reconfiguration facilities that allow us to easily incorporate QoS-adaptation capabilities into TMO-based multimedia applications. In addition, we introduce a novel, practical approach for establishing the QoS configurations that guide the adaptive behavior of a networked multimedia application. A QoS configuration contains a set of parameters that specify the quality-related characteristics of the media streams which a receiver expects from a sender. We also present a strategy used in QASL for selecting, from a given set of QoS configurations, an optimal configuration by reflecting currently observed environmental conditions. Finally, the effectiveness of the QoS-adaptation mechanisms implemented in QASL is evaluated with the use of a heterogeneous network based multi-party videoconference application. © 2010 IEEE.

关键词： Middleware

来源：评论

学校读者我要写书评

暂无评论

Crime Toolkits: The Productisation of Cybercrime

Crime Toolkits: The Productisation of Cybercrime

引用

IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Ammar Alazab Jemal Abawajy Michael Hobbs Robert Layton Ansam Khraisat Parallel and Distributed Computing Lab Deakin University Australia Ballarat University School of information technology Ballarat Australia

ISBN: (纸本)9781479914449

The productisation of crime toolkits is happening at an ever-increasing rate. Previous attacks that required in-depth knowledge of computer systems can now be purchased online. Large scale attacks previously requiring months to set-up a botnet can now be scheduled for a small fee. Criminals are leveraging this opportunity of commercialization, by compromising web applications and user's browser, to gain advantages such as using the computer's resources for launching further attacks, or stealing data such as identifying *** toolkits are being developed to attack an increasing number of applications and can now be deployed by attackers with little technical knowledge. This paper surveys the current trends in crime toolkits, with a case study on the Zeus botnet. We profile the types of exploits that malicious writers prefer, with a view to predicting future attack trends. We find that the scope for damage is increasing, particularly as specialisation and scale increase in cybercrime.

关键词： Malware Computers Servers Browsers Software Electronic mail

来源：评论

学校读者我要写书评

暂无评论

Predicting Programming Behavior in OSS Communities: A Case Study of NLP-based Approach

Predicting Programming Behavior in OSS Communities: A Case S...

引用

Artificial Intelligence and Computer Engineering (ICAICE), International Conference on

作者： Manyan Huo Yue Yu Zhixing Li Junsheng Chang Key Lab. of Parallel and Distributed Computing Lab. College of Computer National University of Defence Technology ChangSha China

ISBN: (数字)9781728191461

ISBN: (纸本)9781728191478

Prediction of developers' programming behaviors is an effective way to improve their development efficiency and optimize the organization of project modules and files. However, little research exists investigating on this direction. In order to address this knowledge gap, we proposed a NLP-based approach to predict the programming behaviors in OSS (Open Source Software) communities. The proposed approach i) embeds the historical programming behavior data of a project into a multi-dimensional vector space to capture the potential laws in the data, ii) forms an eigenvector matrix reflecting the semantic relationship of the development behavior data, and iii) predicts the next programming behavior of a specific developer based on the eigenvector matrix. Our experiments on five OSS projects show that the prediction accuracy rate of the proposed prediction approach can reach up to about 50%, indicating that it can summarize the development behavior data law and effectively predict the programming behavior of developers. Our work can provide valuable assistance for developers' programming and projects' maintenance in practice.

关键词： Training Semantics Programming Predictive models Prediction algorithms Data models Context modeling

来源：评论

学校读者我要写书评

暂无评论

Towards MLOps: A Case Study of ML Pipeline Platform

Towards MLOps: A Case Study of ML Pipeline Platform

引用

Artificial Intelligence and Computer Engineering (ICAICE), International Conference on

作者： Yue Zhou Yue Yu Bo Ding Key Lab. of Parallel and Distributed Computing Lab. College of Computer National University of Defence Technology ChangSha China

ISBN: (数字)9781728191461

ISBN: (纸本)9781728191478

The development and deployment of machine learning (ML) applications differ significantly from traditional applications in many ways, which have led to an increasing need for efficient and reliable production of ML applications and supported infrastructures. Though platforms such as TensorFlow Extended (TFX), ModelOps, and Kubeflow have provided end-to-end lifecycle management for ML applications by orchestrating its phases into multistep ML pipelines, their performance is still uncertain. To address this, we built a functional ML platform with DevOps capability from existing continuous integration (CI) or continuous delivery (CD) tools and Kubeflow, constructed and ran ML pipelines to train models with different layers and hyperparameters while time and computing resources consumed were recorded. On this basis, we analyzed the time and resource consumption of each step in the ML pipeline, explored the consumption concerning the ML platform and computational models, and proposed potential performance bottlenecks such as GPU utilization. Our work provides a valuable reference for ML pipeline platform construction in practice.

关键词： Training Computational modeling Pipelines Graphics processing units Tools Data models Task analysis

来源：评论

学校读者我要写书评

暂无评论

Data structure and movement for lattice-based simulations

引用

Physical Review E 2013年第1期88卷 013314-013314页

作者： Aniruddha G. Shet Shahajhan H. Sorathiya Siddharth Krithivasan Anand M. Deshpande Bharat Kaul Sunil D. Sherlekar Santosh Ansumali Parallel Computing Lab Intel Labs Bangalore 560103 India Engineering Mechanics Unit Jawaharlal Nehru Centre for Advanced Scientific Research Jakkur Bangalore 560064 India

We show that for the lattice Boltzmann model, the existing paradigm in computer science for the choice of the data structure is suboptimal. In this paper we use the requirements of physical symmetry necessary for recovering hydrodynamics in the lattice Boltzmann description to propose a hybrid data layout for the method. This hybrid data structure, which we call a structure of an array of structures, is shown to be optimal for the lattice Boltzmann model. Finally, the possible advantages of establishing a connection between group theoretic symmetry requirements and the construction of the data structure is discussed in the broader context of grid-based methods.

关键词： DATA structures (Computer science) LATTICE theory SIMULATION methods & models LATTICE Boltzmann methods HYDRODYNAMICS COMPUTATIONAL grids (Computer systems)

来源：评论

学校读者我要写书评

暂无评论

High Performance Non-uniform FFT on Modern X86-based Multi-core Systems

High Performance Non-uniform FFT on Modern X86-based Multi-c...

引用

International Symposium on parallel and Distributed Processing (IPDPS)

作者： Dhiraj D. Kalamkar Joshua D. Trzaskoz Srinivas Sridharan Mikhail Smelyanskiy Daehyun Kim Armando Manduca Yunhong Shu Matt A. Bernstein Bharat Kaul Pradeep Dubey Parallel Computing Lab Intel Labs Bangalore KA India Mayo Clinic Minnesota Rochester MN US Parallel Computing Laboratory INTEL Research Laboratory Santa Clara CA USA Department of Physiology and Biomedical Engineering Mayo Clinic Rochester MN USA Parallel Computing Lab Intel Labs Santa Clara CA USA Department of Radiology Mayo Clinic Rochester MN USA

The Non-Uniform Fast Fourier Transform (NUFFT) is a generalization of FFT to non-equidistant samples. It has many applications which vary from medical imaging to radio astronomy to the numerical solution of partial differential equations. Despite recent advances in speeding up NUFFT on various platforms, its practical applications are still limited, due to its high computational cost, which is significantly dominated by the convolution of a signal between a non-uniform and uniform grids. The computational cost of the NUFFT is particularly detrimental in cases which require fast reconstruction times, such as iterative 3D non-Cartesian MRI reconstruction. We propose novel and highly scalable parallel algorithm for performing NUFFT on x86-based multi-core CPUs. The high performance of our algorithm relies on good SIMD utilization and high parallel efficiency. On convolution, we demonstrate on average 90% SIMD efficiency using SSE, as well up to linear scalability using a quad-socket 40-core Intel(R) Xeon(R) E7-4870 Processors based system. As a result, on dual socket Intel(R) Xeon(R) X5670 based server, our NUFFT implementation is more than 4x faster compared to the best available NUFFT3D implementation, when run on the same hardware. On Intel(R) Xeon(R) E5-2670 processor based server, our NUFFT implementation is 1.5X faster than any published NUFFT implementation today. Such speed improvement opens new usages for NUFFT. For example, iterative multi channel reconstruction of a 240×240×240 image could execute in just over 3 minutes, which is on the same order as contemporary non-iterative (and thus less-accurate) 3D NUFFT-based MRI reconstructions.

关键词： Convolution Kernel Interpolation Magnetic resonance imaging Image reconstruction Hardware Transforms

来源：评论

学校读者我要写书评

暂无评论

Capturing Shared and Individual Information in fMRI Data

Capturing Shared and Individual Information in fMRI Data

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Javier S. Turek Cameron T. Ellis Lena J. Skalaban Nicholas B. Turk-Browne Theodore L. Willke Parallel Computing Lab Intel Labs Hillsboro OR 97124 Department of Psychology Yale University New Haven CT 06511

ISBN: (纸本)9781538646595

Cognitive neuroscience seeks to explain the organization of the brain, but typically focuses on aspects that are shared across people rather than those that vary across individuals. Here, we present a new method for analyzing brain imaging data that captures both shared and individual components of brain activity. Inspired by the shared response model (SRM) and the robust principal components analysis, the robust shared response model (RSRM) aligns functional topographies across humans while preserving a component of sparse, individual activity. Experimental results on adult data showed that RSRM performs as well as or better than SRM, while at the same time capturing reliable markers of individual variability. In a test case of participants with extreme variability, we found that RSRM was able to improve the accuracy more than 60% over SRM for the coding of infant fMRI data.

关键词： functional alignment factor analysis functional magnetic resonance imaging individual variability fMRI standard reference materials Factor analysis Magnetic Resonance Imaging CASING INSPECTION brain activity

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：