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 ...

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 ...

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 ...

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 ...

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 ...

Multi-mode sensor processing – such as that for radar beamforming and for electro- optical (E-O) or infrared (IR) image processing – presents formidable computing problems. It requires extremely high ...

Broadcom’s XLP900 architecture can translate into a massively parallel processing array that has been augmented to handle high-end switching communications and networking chores. Broadcom’s XLP900 ...

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 ...