Using global data flow analysis on bytecode to aid worst case execution time analysis for real-time Java programs

2008 ◽  
Author(s):  
James J. Hunt ◽  
Isabel Tonin ◽  
Fridtjof B. Siebert
Keyword(s):  
Real Time ◽  
Execution Time ◽  
Data Flow ◽  
Flow Analysis ◽  
Time Analysis ◽  
Worst Case ◽  
Data Flow Analysis ◽  
Worst Case Execution Time ◽  
Java Programs ◽  
Global Data

scholarly journals Worst-case execution-time analysis for embedded real-time systems

2003 ◽  
Vol 4 (4) ◽  
pp. 437-455 ◽  
Author(s):  
Jakob Engblom ◽  
Andreas Ermedahl ◽  
Mikael Sjödin ◽  
Jan Gustafsson ◽  
Hans Hansson
Keyword(s):  
Real Time ◽  
Execution Time ◽  
Real Time Systems ◽  
Time Analysis ◽  
Worst Case ◽  
Worst Case Execution Time ◽  
Time Systems

Static worst-case execution time analysis of the μC/OS-II real-time kernel

2010 ◽  
Vol 4 (1) ◽  
pp. 17-27 ◽  
Author(s):  
Mingsong Lv ◽  
Nan Guan ◽  
Qingxu Deng ◽  
Ge Yu ◽  
Yi Wang
Keyword(s):  
Real Time ◽  
Execution Time ◽  
Time Analysis ◽  
Worst Case ◽  
Worst Case Execution Time

scholarly journals PBench: A Parallel, Real-Time Benchmark Suite

2018 ◽  
Vol 1 (1) ◽  
pp. 178-186 ◽  
Author(s):  
Sevil Serttaş ◽  
Veysel Harun Şahin
Keyword(s):  
Real Time ◽  
Execution Time ◽  
Matrix Multiplication ◽  
Multiprocessor Systems ◽  
Time Analysis ◽  
Worst Case ◽  
Analysis Methods ◽  
Worst Case Execution Time ◽  
Benchmark Suite ◽  
Time Systems

Real-time systems are widely used from the automotive industry to the aerospace industry. The scientists, researchers, and engineers who develop real-time platforms, worst-case execution time analysis methods and tools need to compare their solutions to alternatives. For this purpose, they use benchmark applications. Today many of our computing systems are multicore and/or multiprocessor systems. Therefore, to be able to compare the effectiveness of real-time platforms, worst-case execution time analysis methods and tools, the research community need multi-threaded benchmark applications which scale on multicore and/or multiprocessor systems. In this paper, we present the first version of PBench, a parallel, real-time benchmark suite. PBench includes different types of multi-threaded applications which implement various algorithms from searching to sorting, matrix multiplication to probability distribution calculation. In addition, PBench provides single-threaded versions of all programs to allow side by side comparisons.

Sign in / Sign up

Export Citation Format

Share Document