The purpose of this book is to help you program shared-memory parallel systems without risking your sanity.1 Nevertheless, you should think of the information in this book as a foundation on which to build, rather tha...
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parallel task-based programming models like OpenMP support the declaration of task data dependences. This information is used to delay the task execution until the task data is available. The dependences between tasks...
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parallel task-based programming models like OpenMP support the declaration of task data dependences. This information is used to delay the task execution until the task data is available. The dependences between tasks are calculated at runtime using shared graphs that are updated concurrently by all threads. However, only one thread can modify the task graph at a time to ensure correctness; others need to wait before doing their modifications. This waiting limits the application's parallelism and becomes critical in many-core systems. This paper characterizes this behavior, analyzing how it hinders performance and presenting an alternative organization suitable for the runtimes of task-based programming models. This organization allows managing the runtime structures asynchronously or synchronously, adapting the runtime to reduce the waste of computation resources and increase theperformance. Results show that the new runtime structure outperforms the peak speedup of the original runtime model whencontention is huge and achieves similar or better performance results for real applications.
While modern parallel computing systems provide high performance resources, utilizing them to the highest extent requires advanced programming expertise. programming for parallel computing systems is much more difficu...
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A major component of many advanced programming courses is an open-ended "end-of-term project" assignment. Delivering and evaluating open-ended parallel programming projects for hundreds or thousands of stude...
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A major component of many advanced programming courses is an open-ended "end-of-term project" assignment. Delivering and evaluating open-ended parallel programming projects for hundreds or thousands of students brings a need for broad system reconfigurability coupled with challenges of testing and development uniformity, access to esoteric hardware and programming environments, scalability, and security. We present RAI, a secure and extensible system for delivering open-ended programming assignments configured with access to different hardware and software requirements. We describe how the system was used to deliver a programming-competition-style final project in an introductory GPU programming course at the University of Illinois Urbana-Champaign.
In the past, the tenacious semiconductor problems of operating temperature and power consumption limited the performance growth for single-core microprocessors. Microprocessor vendors hence adopt the multicore chip or...
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In the past, the tenacious semiconductor problems of operating temperature and power consumption limited the performance growth for single-core microprocessors. Microprocessor vendors hence adopt the multicore chip organizations with parallel processing because the new technology promises faster and lower power needed. In a short time, this trend floods first the development of CPU, then also the other peripherals like GPU. Modern GPUs are very efficient in manipulating computer graphics, and their highly parallel structure makes them even more effective than general-purpose CPUs for a range of graphical complex algorithms. However, technology of multicore processor brought revolution and unavoidable collision to the programming personnel. Multicore processor has high performance;however, parallel processing brings not only the opportunity but also a challenge. The issue of efficiency and the way how programmer or compiler parallelizes the software explicitly are the keys that enhance the performance on multicore chip. In this paper, we propose a parallel programming approach using hybrid CUDA, OpenMP, and MPI programming. There would be two verificational experiments presented in the paper. In the first, we would verify the availability and correctness of the auto-parallel tools, and discuss the performance issues on CPU, GPU, and embedded system. In the second, we would verify how the hybrid programming could surely improve performance. Copyright (C) 2016 John Wiley & Sons, Ltd.
A hash function maps an arbitrary length of (longer) message into a fixed length of shorter string, called message digest. Inevitably there will be a lot of different messages being hashed to the same or similar diges...
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ISBN:
(纸本)9781509015405
A hash function maps an arbitrary length of (longer) message into a fixed length of shorter string, called message digest. Inevitably there will be a lot of different messages being hashed to the same or similar digest. We call this collision or partial collision. By utilizing multiple processors from the CUNY High Performance Computing Center's facility, we locate partial collisions for MD5 and SHA-1 by brute force parallel programming in C with MPI library. The brute force method of finding a second preimage collision entails systematically computing all of the permutations, digests, and Hamming distances of the target preimage. We explore varying size target strings and the number of processors allocation and examine the effect these variables have on finding partial collisions. The results show that for the same message space the search time for the partial collisions is roughly halved for each doubling of the number of processors;and the longer the message is the better partial collisions are produced.
In the past, the tenacious semiconductor problems of operating temperature and power consumption limited the performance growth for single-core microprocessors. Microprocessor vendors hence adopt the multicore chip or...
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In the past, the tenacious semiconductor problems of operating temperature and power consumption limited the performance growth for single-core microprocessors. Microprocessor vendors hence adopt the multicore chip organizations with parallel processing because the new technology promises faster and lower power needed. In a short time, this trend floods first the development of CPU, then also the other peripherals like GPU. Modern GPUs are very efficient in manipulating computer graphics, and their highly parallel structure makes them even more effective than general-purpose CPUs for a range of graphical complex algorithms. However, technology of multicore processor brought revolution and unavoidable collision to the programming personnel. Multicore processor has high performance;however, parallel processing brings not only the opportunity but also a challenge. The issue of efficiency and the way how programmer or compiler parallelizes the software explicitly are the keys that enhance the performance on multicore chip. In this paper, we propose a parallel programming approach using hybrid CUDA, OpenMP, and MPI programming. There would be two verificational experiments presented in the paper. In the first, we would verify the availability and correctness of the auto-parallel tools, and discuss the performance issues on CPU, GPU, and embedded system. In the second, we would verify how the hybrid programming could surely improve performance. Copyright (C) 2016 John Wiley & Sons, Ltd.
Cyber-physical systems (CPSs) are embedded systems that are tightly integrated with their physical environment. The correctness of a CPS depends on the output of its computations and on the timeliness of completing th...
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ISBN:
(纸本)9781509035311
Cyber-physical systems (CPSs) are embedded systems that are tightly integrated with their physical environment. The correctness of a CPS depends on the output of its computations and on the timeliness of completing the computations. This paper proposes the ForeC language for the deterministic parallel programming of CPS applications on multi-core execution platforms. ForeC's synchronous semantics is designed to greatly simplify the understanding and debugging of parallel programs. ForeC allows programmers to express many forms of parallel patterns while ensuring that programs are amenable to static timing analysis. One of ForeC's main innovation is its shared variable semantics that provides thread isolation and deterministic thread communication. Through benchmarking, we demonstrate that ForeC can achieve better parallel performance than Esterel, a widely used synchronous language for concurrent safety-critical systems, and OpenMP, a popular desktop solution for parallel programming. We demonstrate that the worst-case execution time of ForeC programs can be estimated precisely.
This paper presents an experience of Problem-based learning in a parallel programming course. The course includes the basics of parallel programming, from methodological and technological aspects to the analysis and d...
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ISBN:
(纸本)9781509036820
This paper presents an experience of Problem-based learning in a parallel programming course. The course includes the basics of parallel programming, from methodological and technological aspects to the analysis and design of parallel algorithms. The students work with an optimization problem in the field of parallel Computing. The execution time and the energy consumption of a simplified master-slave scheme in a simplified heterogeneous system are optimized, so treating it as a bi-objective optimization problem, which is addressed with sequential, shared-memory, message-passing and hybrid parallel programming. In this way, the students follow the various parts of the syllabus of the course by working with a problem in which topics studied in previous courses are combined (green computing, computational systems architecture, optimization, heuristics), and this contributes to a deeper understanding of these topics and motivates the introduction of new concepts.
JavaScript is the most popular programming language for client-side Web applications, and *** has popularized the language for server-side computing, too. In this domain, the minimal support for parallel programming r...
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