TURBO C PARALLEL PORT PROGRAMMING

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Linux I/O port programming mini−HOWTO Table of ContentsLinux I/O port programming mini−HOWTO.................................................................................................1Author: Riku Saikkonen <Riku.Saikkonen@hut.fi>......................[r]

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Serial Port Programming in Windows and LinuxMaxwell WalterNovember 7, 2003AbstractWhile devices that use RS−232 and the serial port tocommunicate are becoming increasingly rare, it is stillan important skill to have. Serial port programming,at its most basic level,[r]

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Has Has Has Has Has HasVoicecommunication Has NONE NONE NONE NONE NONETextcommunication Has Has NONE NONE NONE NONEShare informationHas Has NONE NONE NONE NONEProblem-solvingHas Has NONE NONE NONE NONE Following above topics, we compare our developed tool to other tools as show in Table 1. The tradi[r]

memory system and waits until the corresponding values are returned or written.The processor specifies memory addresses independently of the organization of theprocessormainmemoryword blockcacheFig. 2.32 Data transport between cache and main memory is done by the transfer of memoryblocks comprising s[r]

A consumer thread can only retrieve data elements from the buffer, if this isnot empty. Therefore, synchronization has to be used to ensure a correct coor-dination between producer and consumer threads. The producer–consumer modelis considered in more detail in Sect. 6.1.9 for Pthreads and Sect. 6.2[r]

a distributed algorithm where each switch can forward the message without54 2 Parallel Computer Architecturecoordination with other switches. For the description of the algorithm, it is useful torepresent each of the n input channels and output channels by a bit string of lengthlog n [115]. T[r]

80 2 Parallel Computer ArchitectureE (exclusive) means that the cache contains the only (exclusive) copy of the mem-ory block and that this copy has not been modified. The main memory con-tains a valid copy of the block, but no other processor is caching this block.If a processor requests a me[r]

1with bit representation 011 (since α ⊕β = 101). Then,the message is sent in dimension d = 0toβ since (011 ⊕111 = 100).2.6.1.2 Deadlocks and Routing AlgorithmsUsually, multiple messages are in transmission concurrently. A deadlock occurs ifthe transmission of a subset of the messages is blocked fore[r]

performed some computations which might have led to the fact that the conditionis not fulfilled any more. Condition synchronization can be supported by conditionvariables. These are for example provided by Pthreads and must be used togetherwith a lock variable to avoid race condition when evaluating[r]

3.3 Levels of Parallelism 101The array assignment uses the old values of a(0:n-1) and a(2:n+1) whereasthe for loop uses the old value only for a(i+1);fora(i-1) the new value isused, which has been computed in the preceding iteration.Data parallelism can also be exploited for MIMD models. Often, the[r]

no conflict misses occur. The cache line size is 32 bytes. Each entry of the matrixx occupies 8 bytes. The implementations of the loops are given in C which uses arow-major storage order for matrices. Compute the number of cache lines that mustbe loaded for each of the two loop nests. Which of[r]

3.8.1.3 Global ArraysThe global array (GA) approach has been developed to support program design forapplications from scientific computing which mainly use array-based data struc-tures, like vectors or matrices [127].The GA approach is provided as a library with interfaces for C, C++, and Fort[r]

Interfacing the Standard Parallel Port http://www.senet.com.au/~cpeacockInterfacing the Standard Parallel Port Page 1Interfacing the Standard Parallel PortDisclaimer : While every effort has been made to make sure the information in this document is correct, the au[r]

The effect of this operation is that all processes belonging to the group of communi-cator comm are blocked until all other processes of this group also have called thisoperation.5.3 Process Groups and CommunicatorsMPI allows the construction of subsets of processes by defining groups and com-municat[r]

192 4 Performance Analysis of Parallel ProgramsFig. 4.9 Illustration of theparameters of the LogPmodelMMMPPPoverhead olatency Loverhead oP processorsinterconnection networkFigure 4.9 illustrates the meaning of these parameters [33]. All parameters exceptP are measured in time units or as mult[r]

int MPISendrecv replace (void*buffer,int count,MPIDatatype type,int dest,int sendtag,int source,int recvtag,MPIComm comm,MPIStatus*status).Here, buffer specifies the buffer that is used as both send and receive buffer. Forthis function, count is the number of elements to be sent and to be received; t[r]

Op create() returns a reduction operation opwhich can then be used as parameter of MPIReduce().Example We consider the parallel computation of the scalar product of two vectorsx and y of length m using p processes. Both vectors are partitioned into blocks ofsize localm=m/p. Each block is stor[r]