[PDF] Top 20 Performance Model of Parallel Programs with Dryad: Dataflow Graph Runtime

... of Dryad implementation for most larger problem sizes which further verifies the correctness of Equation ...the runtime latency and overhead of MPI is smaller than that of ...analytical model of ... See full document

... several parallel execution models on distributed memory architectures have been proposed: MapReduce, Iterative MapReduce, graph processing, and dataflow graph ...processing. Dryad is a ... See full document

... The Dryad system implements a general-purpose data- parallel execution engine. We have demonstrated excellent scaling behavior on small clusters, with absolute perfor- mance superior to a commercial ... See full document

... the programs that are described through the use of tasks and dependences, it makes sense to the developers to push forward the programming model to support heterogeneity in order to get better ... See full document

... presents Runtime-assisted Cache Coherence Deactivation (RaCCD), a hardware/software co-designed ap- proach that leverages the information present in the RTS of task-based data-flow programming models to drive a ... See full document

... the performance of embedded architectures increases, program sizes that they can support also grow, as does the complexity and dy- namic nature of algorithms in ...to parallel processing archi- ...graphical ... See full document

... programming model [ 12 ...programming model which requires the programmer to annotate each task with the data objects that the task is going to read from or write ...The runtime evaluates the ... See full document

... the model also considers different ...the model guarantees QoS by satisfying constraints (such as the delay/jitter, real-time constraints) of the traffic ...optimise performance and power consumption ... See full document

... the parallel profiles needed as input to our tool using Score-P [ 13 ], a measure- ment infrastructure that is highly scalable and can be used for profiling, event tracing, and online analysis of HPC ...small, ... See full document

... the graph. GRAPAL enables programs to be de- terministic without race conditions or deadlock or ...the Graph- Step model, which allows the compiler and runtime to make specialized ... See full document

... As dynamic light-weight task based parallel programming models move to the main- stream, runtime scheduling with less overhead, more load balance, hence better per- formance, proves[r] ... See full document

... programming model for JavaScript which relies on the mere replication of multiple instances of the JavaScript execution ...programming model requires the developer to ex- plicitly start an arbitrary number ... See full document

... On a fundamental level, energy- and power efficiency is dependent on the proper balance between static and dynamic power dissipation of the CPU. Rauber et. al. [17] provided the mathematical formulation for the ... See full document

... to runtime-managed task- based programming models that specify data dependencies between ...the runtime system as software caches, and a central- ized directory tracks all the data in all the ...CUDA ... See full document

... A process is composed of a (dynamic) sequence of tasks At any time, Kaapi allows to discover not yet executed tasks and their dependencies This abstract representation shows the future of the execution The data flow ... See full document

... significant performance improvement (∼40% for fine grain and ∼30% for coarse grain) when using the DDAST Runtime in comparison to the Nanos++ ...DDAST Runtime outperforms the DAST variants for both ... See full document

... to model the constraint that a dimension occurrence has sufficient parallelism and should not be ...preference graph, since if such a cycle basis is conflict-free, then all cycles in the graph are ... See full document

... of graph robustness by measuring the average connected ...the graph comparatively to the random ...the graph as in each sequential step we use the initial form of the analysed ... See full document

... For example, in [Poli, 1996b] we found that PDGP solved the even-3 parity problem more easily with relatively large grids. So, the optimum grid size might be problem specific. However, somehow surprisingly, on the same ... See full document

... Figure 7.1 shows the simulated execution time of these scheduling and partitioning combinations. If the partitioning and graph combination stays the same, the FIFO scheduling strategy performs almost always the ... See full document