Search Results - Parallel program execution tracing

Making applications faster by asynchronous execution: Slowing down processes or relaxing MPI collectives by Afzal, Ayesha, Hager, Georg, Markidis, Stefano, Wellein, Gerhard

“…Comprehending the performance bottlenecks at the core of the intricate hardware–software interactions exhibited by highly parallel programs on HPC clusters is crucial…”
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HPCTOOLKIT: tools for performance analysis of optimized parallel programs by Adhianto, L., Banerjee, S., Fagan, M., Krentel, M., Marin, G., Mellor-Crummey, J., Tallent, N. R.

“…HPCTOOLKIT is an integrated suite of tools that supports measurement, analysis, attribution, and presentation of application performance for both sequential and parallel programs…”
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Interactive Performance Visualization and Analysis of Execution Traces for Pattern-Based Parallel Programming by Ernstsson, August, Frankell, Elin, Kessler, Christoph

“…We introduce the design and implementation of a performance visualization system for high-level programming of heterogeneous parallel systems…”
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Reinforcement Learning for Load-Balanced Parallel Particle Tracing by Xu, Jiayi, Guo, Hanqi, Shen, Han-Wei, Raj, Mukund, Wurster, Skylar W., Peterka, Tom

“…We explore an online reinforcement learning (RL) paradigm to dynamically optimize parallel particle tracing performance in distributed-memory systems…”
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Parallel execution tracing: An alternative solution to exploit under-utilized resources in multi-core architectures for control-flow checking by Maghsoudloo, Mohammad, Zarandi, Hamid

“… The analysis of a key point leads to introduction of the proposed technique: employing under-utilized CPU resources in multi-core processors to check the execution flow of the programs concurrently and in parallel with the main executions…”
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Making Applications Faster by Asynchronous Execution: Slowing Down Processes or Relaxing MPI Collectives by Afzal, Ayesha, Hager, Georg, Markidis, Stefano, Wellein, Gerhard

“…Comprehending the performance bottlenecks at the core of the intricate hardware-software interactions exhibited by highly parallel programs on HPC clusters is crucial…”
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Loop-level parallelism in numeric and symbolic programs by Larus, J.R.

“… A parallelism analyzer uses information from the trace to simulate parallel execution of the program…”
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Memory Considerations for Low Energy Ray Tracing by Kopta, D., Shkurko, K., Spjut, J., Brunvand, E., Davis, A.

“…We propose two hardware mechanisms to decrease energy consumption on massively parallel graphics processors for ray tracing…”
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HardTaint: Production-Run Dynamic Taint Analysis via Selective Hardware Tracing by Zhang, Yiyu, Liu, Tianyi, Wang, Yueyang, Qi, Yun, Ji, Kai, Tang, Jian, Wang, Xiaoliang, Li, Xuandong, Zuo, Zhiqiang

“… HardTaint adopts a hybrid and systematic design which combines static analysis, selective hardware tracing and parallel graph processing techniques…”
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Efficient large-scale heterogeneous debugging using dynamic tracing by Nadeau, Didier, Ezzati-Jivan, Naser, Dagenais, Michel R.

“… An alternative, to interactively follow the execution flow of a program, is tracing within the debugging environment, as long as the tracer has a minimal overhead…”
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EVMTracer: Dynamic Analysis of the Parallelization and Redundancy Potential in the Ethereum Virtual Machine by Hu, Xiaowen, Burgstaller, Bernd, Scholz, Bernhard

“… From the runtime dependence graphs, we can deduce valuable metrics about program execution characteristics, including the degree of parallelization and computational redundancies…”
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Trace profiling: Scalable event tracing on high-end parallel systems by Mohror, Kathryn, Karavanic, Karen L.

“… ► Trace profiling can reduce program perturbation by reducing write overheads. ► Scalable visualization is achieved through pattern detection-based trace reduction…”
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Wait Analysis of Distributed Systems Using Kernel Tracing by Giraldeau, Francis, Dagenais, Michel

“…We propose a new class of profiler for distributed and heterogeneous systems. In these systems, a task may wait for the result of another task, either locally…”
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GPU-based four-dimensional general-relativistic ray tracing by Kuchelmeister, Daniel, Müller, Thomas, Ament, Marco, Wunner, Günter, Weiskopf, Daniel

“… The ray tracing code itself is implemented for parallel…”
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Exploring hidden coherency of Ray-Tracing for heterogeneous systems using online feedback methodology by Kao, Chih-Chen, Hsu, Wei-Chung

“…Although naturally adopting an embarrassingly parallel paradigm, Ray-Tracing is also categorized as an irregular program that is troublesome to run on graphics processing units (GPUs…”
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Debugging and analysis of large-scale parallel programs by Mellor-Crummey, John Michael

“… Second, invasive, interactive analysis can distort a parallel program's execution beyond recognition…”
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Reinforcement Learning for Load-balanced Parallel Particle Tracing by Xu, Jiayi, Guo, Hanqi, Han-Wei, Shen, Raj, Mukund, Wurster, Skylar W, Peterka, Tom

“…We explore an online reinforcement learning (RL) paradigm to dynamically optimize parallel particle tracing performance in distributed-memory systems…”
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SEED: A Statically Greedy and Dynamically Adaptive Approach for Speculative Loop Execution by Gao, Lin, Li, Lian, Xue, Jingling, Yew, Pen-Chung

“…Research on compiler techniques for thread-level loop speculation has so far remained on studying its performance limits: loop candidates that are worthy of…”
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RAMP: A prototype for massively parallelized Monte Carlo raytracing by Cassella, G., Nilsen, G.J.

“… Graphics processing unit (GPU) acceleration is a promising strategy to reduce the hardware cost and execution time of simulations, thanks to the massively parallelizable nature of the MCR algorithm…”
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Efficient Methods for Trace Analysis Parallelization by Reumont-Locke, Fabien, Ezzati-Jivan, Naser, Dagenais, Michel R.

“…Tracing provides a low-impact, high-resolution way to observe the execution of a system…”
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