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 ...

The MapReduce paradigm has emerged as a transformative framework for processing vast datasets by decomposing complex tasks into simpler map and reduce functions. This approach has been instrumental in ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Hitachi, Ltd. (TSE: 6501) announced the development of a database management system optimized for the high-speed embedded memory in the hardware (FPGA *1) and technology for high performance parallel ...

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 ...

Researchers were able to enhance light-based chipsets for computers! Right now, people are demanding more powerful computing abilities for applications in artificial intelligence. These include speech ...

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 ...

Currently digitizers have a bottleneck caused by having to use either the host PC’s central processor with 8 or 16 cores or a FPGA that is complex to program. Spectrum Instrumentation has solved this ...