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[PDF] Top 20 High-level Multicore Programming with C++11

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High-level Multicore Programming with C++11

High-level Multicore Programming with C++11

... ones. C++ programmers are familiar with the ...of multicore environment ...provide high level parallelization by extending the ...advanced, multicore supporting ... See full document

16

High-level Programming and Symbolic Reasoning on IoT Resource Constrained Devices

High-level Programming and Symbolic Reasoning on IoT Resource Constrained Devices

... Beca use of the limita tions in terms of available resources, the implemen tation of symbolic reasoning on resource constr ained devices must be particular ly efficien t. Our approach makes IoT applica tions to be dev ... See full document

7

NTUPreter: High-level Structured Programming Platform for Wireless Sensor Networks

NTUPreter: High-level Structured Programming Platform for Wireless Sensor Networks

... Integrated Development Environment Design In order to provide our users an intuitive and convenient development environment, a plugin for an open source editor is provided. Geany is an open source editor that is ... See full document

5

Parallel Data Mining on Multicore Systems

Parallel Data Mining on Multicore Systems

... that are encouraging. Here we focus on a broader set of applications and discuss in more detail their structure and performance. We see they have a classic loosely synchronous structure [26] and require synchronization ... See full document

8

The automatic design of hyper heuristic framework with gene expression programming  for combinatorial optimization problems

The automatic design of hyper heuristic framework with gene expression programming for combinatorial optimization problems

... low level heuristic based on their past performance ...low level heuristics perform well only at the beginning of the search process while others could be good at the end of solving process [19], ...low ... See full document

17

PARALLEL CLUSTERING AND DIMENSIONAL SCALING ON MULTICORE SYSTEMS

PARALLEL CLUSTERING AND DIMENSIONAL SCALING ON MULTICORE SYSTEMS

... hand, multicore chips are challenging because they require concurrency to exploit Moore’s law in contrast to the improved architectures and increasing clock speed of the last 15 years that has allowed dramatic ... See full document

7

Parallel Data Mining on Multicore Systems

Parallel Data Mining on Multicore Systems

... on multicore systems. This is implemented in managed code C# with parallel synchronization from a runtime CCR (Concurrency and Computation Runtime) developed at Microsoft Research [13, ...on ... See full document

16

Design of a Parallel Multi Threaded Programming Model for Multicore Architecture with Resource Sharing

Design of a Parallel Multi Threaded Programming Model for Multicore Architecture with Resource Sharing

... new programming models for multi-core ...parallel programming model developed as a part of this ...multi-core programming and unable to utilize all available cores efficiently as they are designed ... See full document

9

On Improving Efficiency and Utilization of Last Level Cache in Multicore Systems

On Improving Efficiency and Utilization of Last Level Cache in Multicore Systems

... towards multicore processors is ...last level cache which can be physi- cally distributed on ...for high performance applications such as bioinformatics, image and video processing, IOT applications ... See full document

20

High Level Portable Programming  Language for Optimized Memory  Use of Network Processors

High Level Portable Programming Language for Optimized Memory Use of Network Processors

... When programming a packet-processing program for NPs, programmers must use an assembly language or C with assembly-level features, and must be very careful to get high ...use ... See full document

16

A Review Of Cuda, Mapreduce, And Pthreads Parallel Computing Models

A Review Of Cuda, Mapreduce, And Pthreads Parallel Computing Models

... of high performance computing (HPC) and graphics processing units (GPU), present an enormous computation resource for Large data transactions (big data) that require parallel processing for robust and prompt data ... See full document

10

<p>Preoperative high C-reactive protein level is associated with an increased likelihood for conversion from laparoscopic to open appendectomy in patients with acute appendicitis</p>

<p>Preoperative high C-reactive protein level is associated with an increased likelihood for conversion from laparoscopic to open appendectomy in patients with acute appendicitis</p>

... laparotomy. We believe that several factors could have played a role regarding this conversion, such as initial patient selection which can improve with better and more accurate preoperative diagnostic through CT scans, ... See full document

7

Neural network programming and portability

Neural network programming and portability

... (e.g. high-level network primitives, description granulity, pre-imposed network structures and constraints, graphical/textual languages ...lowest level provides single­ units description; ... See full document

183

Data-Flow Programming Paradigm for High Level Synthesis Improvement

Data-Flow Programming Paradigm for High Level Synthesis Improvement

... Indeed, we are about showing just partial graphs from the maps. We remember again, the display of the maps is allowed within the tool just for early debugging purposes. We don’t look to show the details of nodes ... See full document

16

Resilience in high level parallel programming languages

Resilience in high level parallel programming languages

... Driven by the increasing demand for a standard fault tolerant specification for MPI, the MPI Fault Tolerance Working Group (FTWG) was formed to meet this objective. The FTWG studied two proposals: Run Through ... See full document

259

A Novel Approach towards Very High Level Programming

A Novel Approach towards Very High Level Programming

... A major difficulty in today’s programming languages is the difficulty in learning and the need for remembering the syntax of that particular language. Programmers often get confused with the looping syntax and end ... See full document

5

High-Level Abstractions for Programming Network Policies

High-Level Abstractions for Programming Network Policies

... We developed a compiler that can automatically generate efficient NetQRE imple- mentations. As part of the compilation process, the compiler automatically infers the state that needs to be maintained for NetQRE programs, ... See full document

107

Lapedo : hybrid skeletons for programming heterogeneous multicore machines in Erlang

Lapedo : hybrid skeletons for programming heterogeneous multicore machines in Erlang

... This paper describes Lapedo, a system of hybrid skeletons for Erlang. Skeletons abstract commonly-used patterns of parallel computation, communication, and interaction into parameterised templates. Hybrid skeletons ... See full document

10

Garbage collection and the case for high-level low-level programming

Garbage collection and the case for high-level low-level programming

... Figures. At the heart of TuningFork is its ability to visualize data by rendering fig­ ures. TuningFork is capable of rendering figures to various screen and print formats including SWT, PDF, and OpenGL. This is achieved ... See full document

164

A Novel Re-Targetable Application Development Platform for Healthcare Mobile Applications

A Novel Re-Targetable Application Development Platform for Healthcare Mobile Applications

... by high-level languages like MATLAB which enables developers to focus on what they want the algorithms to do since the high-level languages manage low-level programming details ... See full document

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