shared-memory parallel
Enhanced computation method of topological smoothing on shared memory parallel machines
... a parallel computation and better memory management, while preserving the topology (number of connected components) of the original image by using homotopic transformations defined in the framework of ...
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An Efficient Parallel Substrate for Typed Feature Structures on Shared Memory Parallel Machines
... We propose an efficient programming environment for developing parallel NLP systems on shared-memory parallel machines, called the Parallel Substrate for Typed Feature Structures PSTFS..[r] ...
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An Efficient Parallel Substrate for Typed Feature Structures on Shared Memory Parallel Machines
... An Efficient Parallel Substrate for Typed Feature Structures on Shared Memory Parallel Machines A n E f f i c i e n t P a r a l l e l S u b s t r a t e for T y p e d F e a t u r e S t r u c t u r e s[.] ...
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Optimization of Machine Learning Process Using Parallel Computing
... In the range of intelligent systems and ML development, we have a typical task concerning running some perceptron algorithm with various parameters. After performing calculations, it of- ten turns out that there are ...
7
Survey on Pure Parallel Programming Models: OpenMP and MPI
... a shared memory Application Programming Interface (API) whose aim is to ease Shared Memory parallel ...across Shared Memory ...
5
Parallelization of formal concept analysis algorithms
... Shared memory parallel machines can be programmed by generating threads, where each thread is executed on a separate ...core. Shared memory programming models such as ArBB, TBB, OpenMP, ...
151
CONSISTENCY MODELS IN DISTRIBUTED SHARED MEMORY SYSTEMS
... Distributed Shared Memory (DSM) combines the advantage of shared memory parallel computer and distributed ...distributed shared memory depends upon the performance of ...
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spmv_book.pdf
... contiguous memory loca- tions, thus preventing memory coalescing and degrading memory bandwidth ...for memory coalescing at the cost of an intra-warp reduction at the end of each ...
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Portable and architecture independent parallel performance tuning
... Jarvis, Stephen A., 1970-, Hill, J. M. D., Siniolakis, C. J. and Vasilev, V. P. (2001) Portable and architecture independent parallel performance tuning. University of Warwick. Department of Computer Science. ...
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Wait free shared memory irradiance caching
... reliable shared data structures for max- imizing performance is ever ...a shared memory ...similar parallel methods in other areas of computer ...
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HPC GAP: engineering a 21st century high performance computer algebra system
... The shared-memory component of HPC-GAP, which we refer to for this paper as GAP5 reimple- ments the latest version of GAP (GAP4) to include support for parallelism at a number of levels ...of memory ...
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An annotated bibliography on using parallel processing systems (with emphasis on topics related to air quality modeling)
... This paper discusses three techniques used for parallelizing the ELLPACK software pack- age for solving partial differential equations: an explicit approach using compiler direc- tives available on a particular target ...
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Analyzing Memory Performance Bottlenecks in OpenMP Programs on SMP Architectures using ccSIM
... on shared memory multiprocessors. It performs a simulation of memory references by the processors in an SMP node for a specified cache configuration using traces obtained through on-the-fly dynamic ...
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Optimizing Memory Efficiency for Many-Core Architecture.
... their memory stream in each ...that memory requests for the majority of CNF applications (other than PTF and SSSP) are only reused less than three ...the memory access stream, which indirectly ...
158
Shared Memory Transport for ALFA
... the memory allocation and management de- tails from the user and simply provides a ready to use buffer for every ...the memory layout – typi- cally where hardware needs to write to that memory ...
6
Addressing parallel application memory consumption
... the memory consumption of MPI based parallel application, the specific focus of the tool is heap memory, specifically tracking live allocations through func- tion ...of memory allocations for ...
188
Testing of a Novel Distributed Shared Memory Framework
... own memory, which communicate via a ...own memory there is no bottleneck for access to memory, they only use the network to propagate updates to data shared with other ...
98
BSP Fault Tolerant Features pdf
... File Memory Control Control Processor Control and Maintenance Unit Parallel Processor Control Unit Parallel Processor Arithmetic Element Output Alignment Network Memory Interface and Par[r] ...
21
Strong Memory Consistency For Parallel Programming
... To evaluate the effectiveness of MAMA, we applied the algorithm to multiple parallel benchmarks and recorded where deadlocks occurred in the target program. The Safe column of Table 6.3 details the dynamic ...
128
ARCHITECTURAL CLASSIFICATIONS
... Example: parallel computer consisting of workstations connected together by local area network such as Ethernet is loosely ...any memory and communication via I/O ...
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