SAS UPMEM

Forschungsprojekte

• Processing-in-memory architectures and programming libraries for bioinformatics algorithms Low cost, high throughput DNA and RNA sequencing (HTS) data is now the main workforce for various genomics an…
• Accelerating Datacentre performance through Memory Chips to efficiently manage the Big Data Age Datacentres have become a backbone of the modern economy, they currently consume 2% of worldwide electricity,…
• Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems AI is increasingly becoming a significant factor in the CO2 footprint of the European economy. To avoid a con…