Abstract : Modern processor architectures invariably enable the parallel execution of several operations per clock cycle. Configurable processors such as the Improv Jazz VLIW DSP allow the user to ...

Nvidia’s AI GPUs have long been the standard for training large-language AI models in centralized data centers, thanks to ...

The ETRI said that after its commercialization, this technology "will be a game-changer for Korea to become the world’s fifth ...

Electronics and Telecommunications Research Institute (ETRI) announced that it has developed an accelerator system-on-chip ...

Writing in The Conversation, Lund University professor Heiner Linke argues that biological computers could dramatically cut ...

Designing high-performance video encoding and transcoding systems that can exploit both multi-core CPU and many-core GPUs for faster-than-real-time performance. By Dr. Michael D. McCool ...

Primary Use General-purpose tasks, logic, and control Rendering graphics, parallel processing for HPC tasks Specialized parallel processing for AI, ML, and deep learning Number of Cores Few (often ...

Abstract: Processing-in-Memory (PIM) is an emerging computing paradigm exploiting a cutting-edge memory device (PIM device) that integrates hundreds to thousands of processing units with the memory ...

Abstract: Photovoltaic (PV) to virtual bus parallel differential power processing (PDPP) architecture can mitigate mismatch losses among PV strings. This article presents a comprehensive dynamic ...

As of September 2024, AMD had $4.5 billion in cash and cash equivalents against total debt of $1.7 billion. AMD took on debt to acquire Xilinx, but Xilinx generates healthy cash flow, and now that AMD ...

Web scraping has evolved from simple, rudimentary scripts into sophisticated, AI-powered systems designed for real-time data ...

Learn how to run Deepseek R1 671b locally, optimize performance, and explore its open-source AI potential for advanced local ...