東京大学Beyond AI研究推進機構特別講演「Let the Data Flow!」
Kunle Olukotun SambaNova Systems共同創業者特別講演
Organizing : 東京大学BeyondAI研究機構
スタンフォード大学教授で「マルチコアプロセッサの父」と呼ばれるKunle Olukotun SambaNova Systems共同創業者兼チーフテクノロジストの特別講演を行います。Software 2.0時代に相応しいデータフローコンピューティングアーキテクチャに関する講演です。是非ご参加下さい。
Let the Data Flow!
Kunle Olutotun, Professor of Stanford University
Co-founder & Chief Technologist of SambaNova Systems
As the benefits from Moore’s Law diminish, future computing performance improvements must rely on specialized accelerators for applications in high performance computing, artificial intelligence, and traditional data processing. These challenging applications are characterized by terabyte sized models, data sparsity and irregular control flow. In this talk, we explain how Reconfigurable Dataflow Accelerators (RDAs) can be used to accelerate a broad set of data-intensive applications with these characteristics. SambaNova Systems is using RDA technology contained in Reconfigurable Dataflow Units (RDUs) to achieve record-setting performance on challenging machine learning tasks.
Kunle Olukotun is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is a renowned pioneer in multi-core processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project. Prior to SambaNova Systems, Olukotun founded Afara Websystems to develop high-throughput, low-power multicore processors for server systems. The Afara multi-core processor, called Niagara, was acquired by Sun Microsystems and now powers Oracle’s SPARC-based servers. Olukotun is the Director of the Pervasive Parallel Lab and a member of the Data Analytics for What’s Next (DAWN) Lab, developing infrastructure for usable machine learning. Olukotun is an ACM Fellow and IEEE Fellow for contributions to multiprocessors on a chip and multi-threaded processor design. Olukotun recently won the prestigious IEEE Computer Society’s Harry H. Goode Memorial Award and was also elected to the National Academy of Engineering—one of the highest professional distinctions accorded to an engineer. Kunle received his Ph.D. in Computer Engineering from The University of Michigan.
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