Search Results - parallel program execution (tracing* OR treating*)

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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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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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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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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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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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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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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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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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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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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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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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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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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Deepframe: A Profile-Driven Compiler for Spatial Hardware Accelerators by Guha, Apala, Vedula, Naveen, Shriraman, Arrvindh

“… We introduce a novel technique that recasts learning a program's execution patterns as a natural-language-processing problem, CBOW…”
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Reversible CSP Computations by Galindo, Carlos, Nishida, Naoki, Silva, Josep, Tamarit, Salvador

“…Reversibility enables a program to be executed both forwards and backwards. This ability allows programmers to backtrack the execution to a previous state…”
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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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An Algorithm for Static Tracing of Message Passing Interface Programs Using Data Flow Analysis by Elnashar, Alaa I, El-Zoghdy, Said F

“… MPI programs exchange data among parallel processes using communication routines. Program execution trace depends on the way that its processes are communicated together…”
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Performance Analysis and Optimization of the FFTXlib on the Intel Knights Landing Architecture by Wagner, Michael, Lopez, Victor, Morillo, Julian, Cavazzoni, Carlo, Affinito, Fabio, Gimenez, Judit, Labarta, Jesus

“…In this paper, we address the decreasing performance of the FFTXlib, the Fast Fourier Transformation (FFT) kernel of Quantum ESPRESSO, when scaling to a full…”
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A formal semantics for debugging synchronous message passing-based concurrent programs by Li, He, Luo, Jie, Li, Wei

“…In this paper, we propose a semantic framework to debug synchronous message passing-based concurrent programs, which are increasingly useful as parallel computing and distributed systems become more and more…”
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