High-speed data processing based upon special-purpose processors is one of the basic directions in the development of computer systems for real-time systems. Reconfigurable processor arrays containing ...

Editor's Note: This is the first of two articles discussing how Massively Parallel Processing Arrays (MPPAs) can be used to accelerate high-performance embedded system applications. In this article, ...

In the last few years a number of start-up companies have announced massively parallel processors for embedded DSP applications. With their arrays of processing elements, these processors target ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

Micron’s Automata Processor performs regular expression matching using a parallel array of state transition elements. The ANML compiler and development tools are now available. Tools for developing ...

The processor's SIMD portion enables one instruction to be simultaneously executed by a number (two, four, eight, or 16) of DSP processors called parallel datapath units. The CW4011 implementation ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...

Outshining ASICs, DSP and FPGA for many video and imaging applications, each processor in an MPPA is strictly encapsulated, accessing only its own code and memory. Editor's Note: This is the first of ...