Two benchmarks were performed, one on the execution times and the other on the RAM. The goal is to assess whether the Time Agnostic Library is efficient and operable despite working on the fly and without pre‑indexing. All the experiments were conducted on the dataset described in 10.5281/zenodo.5549624, using a computer with the following hardware specifications. Only the components relevant to the results' reproduction are reported: CPU: Intel Core i5 8500 @ 3.00 GHz, 6 core, 6 logic processors. RAM: 32 GB DDR4 3000 MHz CL15. Storage: 1 TB SSD Nvme PCIe 3.0. The results obtained strictly depend on the hardware employed and are reproducible uniquely under the same conditions
Structural performance analysis of the NAS parallel benchmarks is used to time code sections and spe...
Introduction The conclusions drawn from a benchmark study of computer performance depend not only o...
International audienceEstimating safe upper bounds on task execution times is required in the design...
This dataset reports benchmark results of the Python software time-agnostic-library v2.2.2. Two ben...
This deposit contains benchmark code, data and results to assess the Python software time-agnostic-l...
Standard benchmarking provides the run times for given programs on given machines, but fails to prov...
Abstract machines provide a certain separation between platform-dependent and platform-independent ...
Characterizing the memory behaviour of SPEC CPU benchmarks is critical to analyze bottlenecks in the...
This thesis describes the implementation of a Time Management Unit (TMU) in hardware as specified by...
Application-level monitoring is required for continuously operating software systems to maintain the...
Task-based programming models are becoming increasingly important, as they can reduce the synchroniz...
There exist applications where independence of special hardware is more important than accuracy. But...
A fundamental part of developing software is to understand what the application spends time on. This...
Experimental evaluation is key to systems research. Because mod-ern systems are complex and non-dete...
The Power Wall has stopped the past trend of increasing processor throughput by increasing the clock...
Structural performance analysis of the NAS parallel benchmarks is used to time code sections and spe...
Introduction The conclusions drawn from a benchmark study of computer performance depend not only o...
International audienceEstimating safe upper bounds on task execution times is required in the design...
This dataset reports benchmark results of the Python software time-agnostic-library v2.2.2. Two ben...
This deposit contains benchmark code, data and results to assess the Python software time-agnostic-l...
Standard benchmarking provides the run times for given programs on given machines, but fails to prov...
Abstract machines provide a certain separation between platform-dependent and platform-independent ...
Characterizing the memory behaviour of SPEC CPU benchmarks is critical to analyze bottlenecks in the...
This thesis describes the implementation of a Time Management Unit (TMU) in hardware as specified by...
Application-level monitoring is required for continuously operating software systems to maintain the...
Task-based programming models are becoming increasingly important, as they can reduce the synchroniz...
There exist applications where independence of special hardware is more important than accuracy. But...
A fundamental part of developing software is to understand what the application spends time on. This...
Experimental evaluation is key to systems research. Because mod-ern systems are complex and non-dete...
The Power Wall has stopped the past trend of increasing processor throughput by increasing the clock...
Structural performance analysis of the NAS parallel benchmarks is used to time code sections and spe...
Introduction The conclusions drawn from a benchmark study of computer performance depend not only o...
International audienceEstimating safe upper bounds on task execution times is required in the design...