Splash-4: A Modern Benchmark Suite with Lock-Free Constructs

Gómez-Hernández, Eduardo José; Cebrian, Juan M.; Ros, Alberto

doi:10.1109/iiswc55918.2022.00015

Cited by 3 publications

(6 citation statements)

References 38 publications

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“…Starting with the configuration with 16 cores up to the one with 64 cores, Splash-4 performs better than Splash-2. This correlates well with the scalability results achieved in [1]. It is commonly known that the overall computing performance can be increased by parallelizing applications and running them on multiple cores.…”

Section: An Empirical Analysis Of Splash-2 and Splash-4supporting

confidence: 83%

“…The identification of such generalized use cases and keeping them aligned with recent microarchitectural development trends is an open research topic. The following are the most commonly used benchmark suites in the evaluation of multicore processors from a general purpose perspective: Splash-2 [5], Splash-3 [6], Splash-4 [1], SPEC CPU2006 [7], SPEC CPU2017 [8], and PARSEC [9].…”

Section: Related Work 21 Benchmarksmentioning

confidence: 99%

“…Based on the Splash-3 suite, another important update was released, Splash-4 [1]. The authors further extended the suite, implementing modern programming approaches focusing on the improved scalability of recent systems.…”

Section: Related Work 21 Benchmarksmentioning

confidence: 99%

“…Measuring the performance of microprocessors and multicore systems is a challenging task. The continuous evolution of programming paradigms and hardware improvements are also ushering in an update for next-generation benchmarking [1]. Performance metrics are usually quantified using different standard sets of computer programs, named benchmark suites.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, the integration of the latest Splash-4 [1] benchmark suite into the Sniper simulator environment was carried out, and an empirical analysis comparing this suite to an older suite, Splash-2 [5], was performed. The applicability of the SCSP to the DVFS subsystem of the microprocessor was evaluated.…”

Section: Introductionmentioning

confidence: 99%

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Architectural and Technological Approaches for Efficient Energy Management in Multicore Processors

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Benchmarks play an essential role in the performance evaluation of novel research concepts. Their effectiveness diminishes if they fail to exploit the available hardware of the evaluated microprocessor or, more broadly, if they are not consistent in comparing various systems. An empirical analysis of the consecrated Splash-2 benchmarks suite vs. the latest version Splash-4 was performed. It was shown that on a 64-core configuration, half of the simulated benchmarks reach temperatures well beyond the critical threshold of 105 °C, emphasizing the necessity of a multi-objective evaluation from at least the following perspectives: energy consumption, performance, chip temperature, and integration area. During the analysis, it was observed that the cores spend a large amount of time in the idle state, around 45% on average in some configurations. This can be exploited by implementing a predictive dynamic voltage and frequency scaling (DVFS) technique called the Simple Core State Predictor (SCSP) to enhance the Intel Nehalem architecture and to simulate it using Sniper. The aim was to decrease the overall energy consumption by reducing power consumption at core level while maintaining the same performance. More than that, the SCSP technique, which operates with core-level abstract information, was applied in parallel with a Value Predictor (VP) or a Dynamic Instruction Reuse (DIR) technique, which rely on instruction-level information. Using the SCSP alone, a 9.95% reduction in power consumption and an energy reduction of 10.54% were achieved, maintaining the performance. By combining the SCSP with the VP technique, a performance increase of 8.87% was obtained while reducing power and energy consumption by 3.13% and 8.48%, respectively.

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Section: An Empirical Analysis Of Splash-2 and Splash-4supporting

confidence: 83%