Paper Title: Memory-Centric Computing in the Big Data Era

Paper Abstract: Ever-increasing amounts of data create a major challenge for computing systems. How can data centers meet the current and future demands of real-time analysis, AI/ML, image and video processing, cloud computing, graph analytics, genomics, and other data-intensive applications at reasonable cost? A key problem is that simply moving data around, such as from storage/memory to a CPU or from local sources to a cloud, can take a very long time. Just try moving a petabyte to another computer or to backup! Or try copying a few huge pages within main memory! Promising ways to reduce the number and size of large data transfers include: 1) adding processing capabilities to storage/memory devices to handle common functions locally, and 2) using new memory technologies to accelerate data-intensive applications and operations. The resulting in-memory processing designs can provide high-bandwidth, low-latency, low-energy, and low-cost solutions across a wide range of applications.

Paper Author: Onur Mutlu, Professor, ETH Zurich and Carnegie Mellon University

Author Bio: Onur Mutlu is a Professor of Computer Science at ETH Zurich and a faculty member at Carnegie Mellon University. His current research interests are computer architecture, systems, hardware security, and bioinformatics. Several techniques he and his collaborators have invented have influenced industry and have been employed in commercial microprocessors and memory/storage systems. . He started the Computer Architecture Group at Microsoft Research, and held product and research positions at Intel, Advanced Micro Devices, VMware, and Google. He has received an IEEE Computer Society Young Computer Architect Award, an Intel Early Career Faculty Award, a US National Science Foundation CAREER Award, and many best paper or "Top Pick" awards at computer systems, architecture, and hardware security events. He is an ACM Fellow, an IEEE Fellow, and an elected member of the Academy of Europe (Academia Europaea). He earned a PhD and MS in electrical and computer engineering from the University of Texas at Austin