Visualizing dynamic software system information through high-level models
Proceedings of the 13th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Performance analysis using the MIPS R10000 performance counters
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
Active harmony: towards automated performance tuning
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
The Sound of Software: Using Sonification to Aid Comprehension
ICPC '06 Proceedings of the 14th IEEE International Conference on Program Comprehension
Measuring the performance of interactive applications with listener latency profiling
Proceedings of the 6th international symposium on Principles and practice of programming in Java
Boosting the performance of computing systems through adaptive configuration tuning
Proceedings of the 2009 ACM symposium on Applied Computing
Parallel performance tuning for Haskell
Proceedings of the 2nd ACM SIGPLAN symposium on Haskell
Tuning parallel applications in parallel
Parallel Computing
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In the modern computing landscape, the challenge of tuning software systems is exacerbated by the necessity to accommodate multiple divergent execution environments and stakeholders. Achieving optimal performance requires a different configuration for every combination of hardware setups and business requirements. In addition, the state of the art in system tuning can involve complex statistical models, which require deep expertise not commonly possessed by the average software developer. This paper presents a novel approach to tuning complex software systems by leveraging sound to convey performance information during execution. We conducted a scientific survey to determine which sound characteristics (e.g., loudness, panning, pitch, tempo, etc.) are most accurate to express information to the average programmer. As determined by the survey, the characteristics that scored the highest across all the participants were used to create a proof-of-concept demonstration. The demonstration showed that a programmer who is not an expert in either software tuning or enterprise computing can configure the parameters of a real world enterprise application server, so that its resulting performance surpasses that exhibited under the standard configuration. Our results indicate that sound-based tuning approaches can provide valuable solutions to the challenges of configuring complex computer systems.