High Performance Computing is the use of parallel and distributed computing systems to solve complex computational problems that require significant processing power, memory, and data throughput. It relies on architectures such as supercomputers, clusters, and accelerators to perform large-scale simulations, data analysis, and modeling tasks. High performance computing is used in fields including scientific research, engineering, climate modeling, and artificial intelligence.
Giuseppe Coviello of NEC Laboratories America presents “Völ: A Domain-Specific Language and Runtime for AI-Native Workflows” at HiPES 2026, held alongside Euro-Par in Pisa, Italy on August 25th. Völ lets developers describe AI workflows declaratively, leaving execution to the runtime.
Eric C. Blow of NEC Laboratories America presents a keynote at COOL Chips 29 in Tokyo, exploring multi-modal photonic computing for real-time, ultra-efficient inference. This work highlights how photonics is reshaping AI performance, enabling faster and more energy-efficient processing across next-generation systems.