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• W2482109327 abstract "In parallel programs using the shared-variable paradigm, run-time communication overhead manifests itself along three principal dimensions, namely, shared data accesses (including memory contention, cache misses and non-local memory access latencies), inter-process synchronization operations, and global barrier synchronizations. Performance measurements to quantify the rate at which communication costs for an algorithm increases as more processors are used is integral to the study of an algorithm's efficiency and scalability. In this thesis, we explore the problem of performance characterization of a multiprocessor in the context of the shared-variable programming model with emphasis on characterizing the dynamic run-time behavior.We have developed a hierarchical model to characterize multiprocessor system performance using a multi-phase computation structure with concurrent asynchronous execution within a phase. Two sets of system characterization parameters have been proposed that completely describe the static and dynamic behavior of a given input workload on a target multiprocessor system. The characterization parameters are calibrated by experimental measurements on the input workload. A series of loss functions are formulated to describe the performance degradation resulting from static and dynamic overheads, thus providing realistic estimates of performance loss.Since the characterization of performance is tied inextricably with the input workload, we have presented a flexible technique for benchmark workload generation, that can be tailored to fit a user's preference for selective workload characteristics. A family of workload emulation kernels, namely, the MAD, SAD and BAD kernels, have been designed to isolate and measure the incremental impact of memory contention, critical sections and barrier synchronization on performance, respectively, to calibrate the hierarchical performance model. We have demonstrated the applicability of the system characterization methodology and the effectiveness of the workload emulation kernels by evaluating the performance of several synthetic workloads on the Sequent Symmetry and BBN TC2000 commercial multiprocessors.The proposed methodology is independent of any particular architecture or application. We believe that our approach to performance characterization will serve to model performance with greater fidelity than exists in the current state of art, since it incorporates the effect of both static and dynamic influences in a workload execution. Since a shared-variable programming paradigm is only assumed with no assumptions made about the organization of the shared address space, our framework can be used equally effectively to evaluate multiprocessors that provide a physical shared memory or highly-parallel systems that support a shared virtual memory." @default.
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• W2482109327 date "1992-01-01" @default.
• W2482109327 modified "2023-09-28" @default.
• W2482109327 title "A framework for multiprocessor performance characterization and calibration" @default.
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