Vlsi and Parallel Computation

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Duboux, A. Ferreira, M. Archambaud, I.


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Saraiva Silva, J. Architecture and programming of parallel video signal processors K. Vissers et al. A highly parallel single-chip video signal processor K.

Handshake Circuits : An Asynchronous Architecture for VLSI Programming

Kneip, P. A memory efficient, programmable multi-processor architecture for real-time motion estimation type algorithms E. De Greef, F. Catthoor, H. De Man. Instruction-level parallelism in asynchronous processor architectures D. Arvind, V. Hall, A. Christopoulos, A. Skodras, J.

Massively parallel computing in nano-VLSI interconnect modeling and lithography simulation

Parallel grep J. Champeau, L. Le Pape, B. Parallel Compilation. Compiling for massively parallel architectures: a perspective P. Held, B. Uniformisation techniques for reducible integral recurrence equations L. Rapanotti, G. HOPP - a higher-order parallel programming model R. Design by transformation of synchronous descriptions G. Durrieu, M. Heuristics for evaluation of array expressions on state of the art massively parallel machines V. On factors limiting the generation of efficient compiler-parallelized programs M. Werth, P. From dependence analysis to communication code generation: the look forwards model C.

Keith Jenkins, and Alexander A. Sawchuk Appl. Goodman, and Satoshi Ishihara Appl. Caroline J. Perlee and David P. Casasent Appl. You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution. Cited by links are available to subscribers only. Equations are available to subscribers only. Article level metrics are available to subscribers only. Login or Create Account. Allow All Cookies. Applied Optics Vol.

Krishnamurthy and V. Environment Setup You will collect your numbers on the Latedays cluster. With that in mind, consider the following 10x10 grid of wires: With the wire routing shown above, there are three coordinates where wires overlap: 2,6 , 3,5 , and 3, 6. Specification Your first priority in choosing a route is to select one that minimizes the maximum cost array value along the route. The Algorithm The focus of this assignment is on the parallelization of this application rather than developing the algorithm itself.

Calculate the cost of the current path, if not known. This is the current minimum path. Consider all paths which first travel horizontally. If any costs less than the current minimum path, that is the new minimum path. Consider all paths which first travel vertically. Simplified Simulated Annealing: A real version of this application would iterate until it no longer achieved significant improvements, and it might use simulated annealing to avoid being trapped in local minima.

The value of N should be an input parameter to your program.


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  8. This simply adds a step to your algorithm: Calculate cost of current path, if not known. With probability 1 - P, choose the current minimum path. Implementation Details Executable Format You will write an executable program that should accept the following parameters as command line arguments:. The content format for the cost array output file should be a space-delimited matrix of numbers: maxX maxY c11 c Measuring Performance Execution time : To evaluate the performance of the parallel program, measure the following times using gettimeofday Initialization Time: the time required to do all the sundry initialization, read the command line arguments, and create the separate processes.

    Start timing when the program starts, and end just before the main computation starts. Computation Time: this is strictly the time to compute the result. It does not include the time necessary to print them out. Start timing when the main computation starts after all the processes have been created , and finish when all of the results have been calculated. Your report should include the following items: A detailed discussion of the design and rationale behind your approach to parallelizing the algorithm.

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    Specifically try to address the following questions: What approaches have you taken to parallelize the algorithm? Where is the synchronization in your solution? Did you do anything to limit the overhead of synchronization? Why do you think your code is unable to achieve perfect speedup? Is it workload imbalance? At high thread counts, do you observe a drop-off in performance?

    If so, and you may not why do you think this might be the case? The output of your program shown graphically for the different input circuits. You can generate this using the WireGrapher. A plot of the Total Speedup and Computation Speedup vs.

    Number of Processors Nprocs. A plot of the total number of cache misses for the entire program vs. Discuss the results that you expected for all the plots in Question and explain the reasons for any non-ideal behavior that you observe. A plot of the Total Speedup and Computation Speedup on threads with respect to 1 thread where the value of P i. If running with 1 thread is too slow, you are free to change the baseline to 4 threads or even 16 threads Discuss the impact of varying P on performance, explaining any effects that you see.

    A plot of the Total Speedup and Computation Speedup on threads where the input problem size is varied. There are different ways to vary the problem size, for example, grid size, number of wires, the average length of wires or even the layout of the wires. Here, please explore the different grid size and number of wires. Again, if running with 1 thread is too slow, you are free to change the baseline to 4 threads or even 16 threads Discuss the impact of problem size both grid size and number of wires on performance. Hand In This is important, read this carefully Electronic submission through Autolab: Your submission should be a.

    Please run make clean before tarring and submitting. If we copy the code directory you submit to our machine, it should still compile and run without a hiccup. These must pass the validation script. The starter code by default prints computation and total times. You also need to add print statements that give us your max cost and aggregate cost of your resulting cost array. Read the previous bullet again , I suspect a lot of people are going to miss this detail. Your writeup should include the items listed in the Performance Analysis section.

    Even if you can learn how to run on the Xeon Phi, that's still one less thing to worry about later. Try to get the sequential version of the algorithm working correctly with the validate scripts as soon as you possibly can.

    parallel computing - by bhanu priya

    Make sure you read those really carefully.