Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...

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 ...

Micron’s Automata Processor (AP) uses a unique parallel processing technique that exploits the company’s memory technology (Fig. 1). The parallel processor is similar to an FPGA and a content ...

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 ...

BURLINGAME, Calif.--(BUSINESS WIRE)--Quadric (quadric.io), an innovator in high-performance edge processing, has introduced a unified silicon and software platform that unlocks the power of on-device ...

One particular frustration with the UNIX shell is the inability to easily schedule multiple, concurrent tasks that fully utilize CPU cores presented on modern systems. The example of focus in this ...

AUSTIN, Texas — With an $11 million grant from the Defense Advanced Research Projects Agency and collaborative support from IBM Corp.'s Austin Research Lab, a team of computer architects at the ...

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 ...