scholarly journals Development of Real-Time Capability in Application Virtual Machine using Concurrent Automatic Memory Management Algorithm

2016 ◽  
Vol 8 (11) ◽  
pp. 8-15
Author(s):  
Charan K V ◽  
◽  
A.S Manjunath
Keyword(s):  
Real Time ◽  
Virtual Machine ◽  
Memory Management ◽  
Management Algorithm ◽  
Automatic Memory

Designing a Hard Real-Time System with Automatic Memory Management

1991 ◽  
Vol 24 (2) ◽  
pp. 71-72
Author(s):  
E.E. Ferguson ◽  
D.S. Cook ◽  
D.H. Bartley
Keyword(s):  
Real Time ◽  
Memory Management ◽  
Time System ◽  
Real Time System ◽  
Hard Real Time ◽  
Automatic Memory

Analyzing the Characteristic of JAVA Objects

2013 ◽  
Vol 303-306 ◽  
pp. 2329-2332 ◽  
Author(s):  
Jun Yi Li ◽  
Jing Yu Chen ◽  
Anthony S. Fong
Keyword(s):  
Memory Management ◽  
Garbage Collection ◽  
Design Method ◽  
Object Oriented ◽  
Careful Consideration ◽  
Object Oriented Programming ◽  
Release Mechanism ◽  
Access Frequency ◽  
Management Algorithm ◽  
Automatic Memory

Java is a very popular Object-oriented programming (OOP) language because of its platform independent and automatic memory release mechanism (or garbage collection). However, garbage collection also speeds CPU time and should be done after careful consideration. In the paper, memory usage behavior and run-time object characteristics, including heap and object size, object age and access frequency, are studied using several commercial benchmarks. The profiler design method and experiment detail are represented in the paper. The runtime object characteristics are very important to guide the employment of different memory management algorithm.

scholarly journals Real-time FPGA-based implementation of the AKAZE algorithm with nonlinear scale space generation using image partitioning

2021 ◽  
Author(s):  
Parastoo Soleimani ◽  
David W. Capson ◽  
Kin Fun Li
Keyword(s):  
Real Time ◽  
Memory Management ◽  
Scale Space ◽  
Image Resolution ◽  
Hardware Architecture ◽  
Frame Rate ◽  
Time Sharing ◽  
Scale Invariant ◽  
Nonlinear Scale Space ◽  
Nonlinear Scale

AbstractThe first step in a scale invariant image matching system is scale space generation. Nonlinear scale space generation algorithms such as AKAZE, reduce noise and distortion in different scales while retaining the borders and key-points of the image. An FPGA-based hardware architecture for AKAZE nonlinear scale space generation is proposed to speed up this algorithm for real-time applications. The three contributions of this work are (1) mapping the two passes of the AKAZE algorithm onto a hardware architecture that realizes parallel processing of multiple sections, (2) multi-scale line buffers which can be used for different scales, and (3) a time-sharing mechanism in the memory management unit to process multiple sections of the image in parallel. We propose a time-sharing mechanism for memory management to prevent artifacts as a result of separating the process of image partitioning. We also use approximations in the algorithm to make hardware implementation more efficient while maintaining the repeatability of the detection. A frame rate of 304 frames per second for a $$1280 \times 768$$ 1280 × 768 image resolution is achieved which is favorably faster in comparison with other work.

CPU scheduling and memory management for interactive real-time applications

2011 ◽  
Vol 47 (5) ◽  
pp. 454-488 ◽  
Author(s):  
Shinpei Kato ◽  
Yutaka Ishikawa ◽  
Ragunathan Rajkumar
Keyword(s):  
Real Time ◽  
Memory Management ◽  
Cpu Scheduling ◽  
Real Time Applications
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