programming Language Popularity "***" provides information on 33 different programming languages. Glancing at this website reveals that old programming languages never die and new programming languages conti...
programming Language Popularity "***" provides information on 33 different programming languages. Glancing at this website reveals that old programming languages never die and new programming languages continue to be created. Many of the most popular languages are object-oriented, from C++ to Java and C# to Python. With new programming languages continuing to evolve and even more applications being developed with special purpose scripting languages, it is more important than ever for students in Computer Science to be well versed in Compiler construction. Yet, running a successful Undergraduate Compiler course is difficult.
object-oriented techniques have been proffered as aids for managing complexity, enhancing reuse, and improving readability of irregular parallel applications. However, as performance is the major reason for employing ...
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object-oriented techniques have been proffered as aids for managing complexity, enhancing reuse, and improving readability of irregular parallel applications. However, as performance is the major reason for employing parallelism, programmability and high performance must be delivered together. Using a suite of seven challenging irregular applications and the mature Illinois Concert system (a high-level concurrent object-orientedprogramming model) and an aggressive implementation (whole program compilation plus microsecond threading and communication primitives in the runtime), we evaluate what programming efforts are required to achieve high performance. For all seven applications, we achieve performance comparable to the best achievable via low-level programming means on large-scale parallel systems. In general, a high-level concurrent object-orientedprogramming model supported by aggressive implementation techniques can eliminate programmer management of many concerns – procedure and computation granularity, namespace management, and low-level concurrency management. Our study indicates that these concerns are fully automated for these applications. Decoupling these concerns makes managing the remaining fundamental concerns – data locality and load balance – much easier. In several cases, data locality and load balance for the complex algorithm and pointer data structures is automatically managed by the compiler and runtime, but in general programmer intervention was required. In a few cases, more detailed control is required, specifically explicit task priority, data consistency, and task placement. Our system integrates the expression of such information cleanly into the programming interface. Finally, only small changes to the sequential code were required to express concurrency and performance optimizations, less than 5 per cent of the source code lines were changed in all cases. This bodes well for supporting both sequential and parallel performance in a si
PVTOL provides an object-oriented C++ API that hides the complexity of multicore architectures within a PGAS programming model, improving programmer productivity. Tasks and conduits enable data flow patterns such as p...
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PVTOL provides an object-oriented C++ API that hides the complexity of multicore architectures within a PGAS programming model, improving programmer productivity. Tasks and conduits enable data flow patterns such as pipelining and round-robining. Hierarchical maps concisely describe how to allocate hierarchical arrays across processor and memory hierarchies and provide a simple API for moving data across these hierarchies. Functors encapsulate computational kernels; new functors can be easily developed using the PVTOL API and can be fused for more efficient computation. Existing computation and communication technologies that are optimized for various architectures are used to achieve high performance. PVTOL abstracts the details of the underlying processor architectures to provide portability. We are actively developing PVTOL for Intel, PowerPC and Cell architectures and intend to add support for more computational kernels on these architectures. FPGAs are becoming popular for accelerating computation in both the high performance computing (HPC) and high performance embedded computing (HPEC) communities. Integrated processor-FPGA technologies are now available from both HPC and HPEC vendors, e.g. Cray and Mercury Computer systems. We plan to support FPGAs as co-processors in PVTOL. Finally, automated mapping technology has been demonstrated with pMatlab. We plan to begin implementing automated mapping in PVTOL next year. Similar to PVL, as PVTOL matures and is used in more projects at Lincoln, we plan to propose concepts demonstrated in PVTOL to HPEC-SI for adoption into future versions of VSIPL++.
The European conference on object-orientedprogramming (ECOOP '94) provides a snapshot of current object-oriented research in Europe and elsewhere. Two invited papers and eight sessions with 25 contributed papers ...
The European conference on object-orientedprogramming (ECOOP '94) provides a snapshot of current object-oriented research in Europe and elsewhere. Two invited papers and eight sessions with 25 contributed papers covered the following topics: First invited paper: intelligent agent technology Second invited paper: hypermedia and computer-supported cooperative work Session 1 (class design): papers on abstract classes, dynamic subclasses, method assertions Session 2 (concurrency): adaptive synchronization, concurrent types, and atomic composition Session 3 (patterns): pattern architectures, meta-patterns, execution modeling Session 4 (declarative programming): logical objects, deductive databases, declarative specification, and object identity constraints Session 5 (implementation): protection, location control, garbage collection Session 6 (specification): rigorous analysis, design language, real-time systems Session 7 (dispatching): for multimethods, dynamic types, distributed systems Session 8 (experience): environment modeling, digital video, product customization The invited papers examine application areas of object-oriented technology, while the contributed papers include fundamental research on the core object-oriented model, extensions of object-orientedprogramming to concurrent, distributed, database, and real-time systems, and experience reports for real applications. The substance and goals of each paper are described for the benefit of nonspecialist readers. Discussions of the group of papers in each session bring out broader goals of research. Research directions suggested by each paper are enumerated in a final section.
In this article we introduce a defined and repeatable process to analyze, design, and implement software systems using a combination of techniques taken from Structured Analysis and the object-orientedprogramming sty...
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In this article we introduce a defined and repeatable process to analyze, design, and implement software systems using a combination of techniques taken from Structured Analysis and the object-orientedprogramming style. We use top-down system decomposition and bottom-up programming techniques to create software systems. We also show how to leverage the new multi-paradigm features in C++ to promote maintainability and extendibility of the resulting code, and how to integrate C++ multi-threading and multi-tasking libraries with our model. As an example to reduce the scope, we introduce a model for Monte Carlo option pricing that we design and realize using several different language features in C++. The steps in the transformation from problem description to code are applicable to other kinds of system (for example, PDE and risk applications), as well as other programming languages (for example, C#). This article represents a continuation of the work in Duffy (2017), Duffy and Palley (2017), and Wilmott, Lewis, and Duffy (2014).
The article provides the discussion of matters associated with the problems of transferring of object-oriented Windows applications from C++ programming language to .Net platform using C# programming language. C++ has...
The article provides the discussion of matters associated with the problems of transferring of object-oriented Windows applications from C++ programming language to .Net platform using C# programming language. C++ has always been considered to be the best language for the software development, but the implicit mistakes that come along with the tool may lead to infinite memory leaks and other errors. The platform .Net and the C#, made by Microsoft, are the solutions to the issues mentioned above. The world economy and production are highly demanding applications developed by C++, but the new language with its stability and transferability to .Net will bring many advantages. An example can be presented using the applications that imitate the work of queuing systems. Authors solved the problem of transferring of an application, imitating seaport works, from C++ to the platform .Net using C# in the scope of Visual Studio.
In the conventional object model, encapsulated objects interact by messages that result in method invocations on the destination object. A message is delivered directly at the destination object. As a result of the di...
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In this video we show the capabilities of the OP:Sense system. OP:Sense is an integrated rapid application development environment for robot assisted surgery. It mainly aims on MIRS and on open head neurosurgery as OP...
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ISBN:
(纸本)9781457721366
In this video we show the capabilities of the OP:Sense system. OP:Sense is an integrated rapid application development environment for robot assisted surgery. It mainly aims on MIRS and on open head neurosurgery as OP:Sense is developed for the EU Projects FP7 SAFROS and FP7 ACTIVE that aim on these use-cases. Besides the framework, OP:Sense also integrates applications. Thus it is not only the framework itself but also a system that demonstrates how robots can be used for surgical interventions. Core of the system is the ACE TAO framework [1] [2] that implements realtime CORBA for communication between distributed systems. We built interfaces based on CORBA for use in Matlab and Simulink. Also there are modules for 3D Slicer and applications for the control of devices like robots, or surgical tools. As Matlab is a mighty tool for rapid application development it can be used to develop applications in a faster way compared to using C++ or similar programming languages. We use Matlab for setting up our environment and for tasks and computations that does not need to run in realtime. For Realtime tasks like telemanipulation we use Simulink models.
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