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Implementation of Pulse Width Modulation Algorithms
Published in Dorin O. Neacsu, Switching Power Converters, 2017
The sequential processing of tasks does not extract all benefits from the parallel processor hardware. The first programming language that consistently expressed parallelism in execution was APL [8]. However, the task was computed through computing power distribution, since, at that time, real parallel hardware was not available. The programming language ADA represents an important evolutionary step, especially in conjunction with the specialized 32-bits microprocessor iAPX432. The first truly parallel evaluation of tasks was carried out with the programming language OCCAM, which was able to achieve synchronization and communication between tasks on different hardware. OCCAM is the programming language for transputer, but it can be adapted to any other computer with minimal modifications.
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Published in K. S. Fu, Ichikawa Tadao, Special Computer Architectures for Pattern Processing, 1982
Faye A. Briggs, K. S. Fu, Kai Hwang, Janak H. Patel
In order to have an operational PM4 system, a multiple mode operating system must be developed for the multiprocessor system. The resident UNIX system in PDP 11/45 is currently under extensive revision at Purdue to handle the following four operation modes of PM4. Special high-level programming languages for parallel processing need to be developed, most probable by extension of the C-programming language or the concurrent PASCAL17 or APL. The parallel programming language will provide the user the power to exploit the full capacity of the system. This will include vector operations (SIMD mode), and two or more distinct vector operations in parallel (multiple SIMD mode). MIMD mode will permit concurrent execution of several scalar processes and distributed mixed mode allows part of the PM4 system to operate as an SIMD computer and part as an MIMD computer. The user will not be burdened with the layout of the vectors in the memory, or the allocation, deallocation, and synchronization of processors.
Introduction to Hardware Description Languages (HDLs)
Published in Suman Lata Tripathi, Sobhit Saxena, Sushanta Kumar Mohapatra, Advanced VLSI Design and Testability Issues, 2020
P. Raja, Dushyant Kumar Singh, Himani Jerath
The conception of an HDL as a medium for style capture was first introduced in the 1950s; however, wide adoption by the look community did not begin till 1985. Traditionally, the event of software package programming languages stirred the evolution of HDLs. One example, among many, is that the artificial language APL that was used as a kind of style entry for a logic automation system was developed at IBM within the early 1960s. The notational conventions of APL were later utilized by researchers at the University of Arizona to style AHPL (A Hardware Programming Language).
Torino: A Tangible Programming Language Inclusive of Children with Visual Disabilities
Published in Human–Computer Interaction, 2020
Cecily Morrison, Nicolas Villar, Anja Thieme, Zahra Ashktorab, Eloise Taysom, Oscar Salandin, Daniel Cletheroe, Greg Saul, Alan F Blackwell, Darren Edge, Martin Grayson, Haiyan Zhang
A number of other tools have been developed specifically to support blind programmers. One of the more recent ones is StructJumper, which creates a hierarchical tree of the nesting structure of the program to enable programmers using screen readers to more easily get an overview of their code (Baker, Milne, & Ladner, 2015). Other examples focus more specifically on educational settings. JavaSpeak (Smith, Francioni, & Matzek, 2000) provides structural and semantic information for a Java program; Audio Programming Language (APL) (Sánchez & Aguayo, 2005) intends to simplify program logic and allows the writing of programs by choosing one of five commands and following step-by-step instructions. Quorum is perhaps the most used language among students with visual disabilities, developed as part of a project to develop a blind-centric computing curriculum (Stefik, Hundhausen, & Smith, 2011). All these systems highlight the challenges of getting an overview of a program and understanding scope.