We have people working on nearly every aspect of security, privacy, and anti-abuse including access control and information security, networking, operating systems, language design, cryptography, fraud detection and prevention, spam and abuse detection, denial of service, anonymity, privacy-preserving systems, disclosure controls, as well as user interfaces and other human-centered aspects of security and privacy.
Although each tool claims to provide better programming, data and execution models—for which only informal and often confusing semantics is generally provided—all share a common under- lying model, namely, the Dataflow model. Exciting research challenges abound as we pursue human quality translation and develop machine translation systems for new languages.
In this paper we study in detail the paradigm of sliding windows, a well-known technique for approximated queries that update their results continuously as new fresh data arrive from the stream.
In this paper, we describe a method to semi- automatically generate and evaluate different parallelisations of the same application, allowing programmers to find the best parallelisation without significant manual reengineering of the code.
The chapter demonstrates how the principal FastFlow patterns may be used in a parallel application. In this paper we describe the design of automatic concurrency control algorithm for implement- ing power-efficient communications on shared-memory multicores.
In particular, response surface models RSM are a key tool to reduce the computational effort involved in engineering design processes like design optimization.
HPC4AI will specifically focus on methods for the on-demand provisioning of AI and BDA Cloud services to the regional and national industrial community, which includes the large regional ecosystem of Small-Medium Enterprises SMEs active in many different sectors such as automotive, aerospace, mechatronics, manufacturing, health and agrifood.
In this work we focus on the relationship between the various existing sliding window semantics and the way the query processing is performed from the parallelism perspective. This Special Issue of the International Journal of Parallel Programming welcomes papers that present practical and methodological approaches to analytical and simulative performance evaluation for architecturally complex systems and high-performance parallel and computing algorithm.
The extension is specifically designed to not affect Armadillo class template prototypes, thus to be easily interoperable with future evolutions of the Armadillo library itself.
Proper methodologies for modeling and analysis are the way to turn complexity into opportunities. Contributions can cover these technical areas: Many scientific endeavors can benefit from large scale experimentation, data gathering, and machine learning including deep learning.
In our publications, we share associated technical challenges and lessons learned along the way. We focus on efficient algorithms that leverage large amounts of unlabeled data, and recently have incorporated neural net technology. Furthermore, this is the first automated skeletal bone age assessment work tested on a public dataset and for all age ranges, races and genders, for which the source code is available, thus representing an exhaustive baseline for future research in the field.
To fill this gap, a software framework is being developed that enables the hybrid and scalable acceleration of the linear algebra core for engineering applications and especially of RSMs calculations with a user-friendly syntax that allows good portability between different hardware architectures, with no need of specific expertise in parallel programming and accelerator technology.
We also describe the RPL Shell that can be used to evaluate these parallelisations, in terms of the desired extra-functional properties.
Research papers in parallel programming and computing from Alpha group, parallel programming research papers, lock-free, multithreading Parallel programming: Alpha group Parallel Computing research cluster, Department of Computer Science, University of Torino.
Source Normalized Impact per Paper (SNIP): ℹ Source Normalized Impact per Paper (SNIP): SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field. Research papers in parallel programming and computing from Alpha group, parallel programming research papers, lock-free, multithreading Parallel programming: Alpha group Parallel Computing research cluster, Department of Computer Science, University of Torino.
We continue to face many exciting distributed systems and parallel computing challenges in areas such as concurrency control, fault tolerance, algorithmic efficiency, and communication.
Some of our research involves answering fundamental theoretical questions, while other researchers and engineers are engaged in the construction of systems to operate at the largest possible scale, thanks to our hybrid.
This paper has me thinking about parallel programming models and the meaning of “naturally parallel.” For example, there are existing languages, such as Verilog, that are used to describe hardware systems and, as such, must be naturally parallel.
Implicit and explicit parallel programming in Haskell Mark P.
Jones and Paul Hudak, Research Report YALEU/DCS/RR, Yale University, New Haven, Connecticut, USA, August 3 Parallel Haskell.Parallel programming research papers