High-Performance Software Development Challenges in the Post-Moore Era

  Abstract: The end of Moore's Law scaling for VLSI technology implies that significant performance increases for future generations of processors cannot derive from increased transistors counts. Instead, hardware customization and more efficient use of hardware resources are expected to be primary means of performance improvement. Hence, the already challenging task of application software development will get even harder. Advances in software infrastructure such as compilers will be crucial to assist application developers achieve high-performance without loss of productivity and portability.

  A very fundamental challenge faced by compilers is data-locality optimization. The cost of data movement far exceeds the cost of performing arithmetic/logic operations on current processors, both in terms of energy as well as execution time. But while the computational complexity of most practically used algorithms is quite well understood, the same is not true of data-movement complexity. There is a need to develop new abstractions and methodologies, and create tools for characterization and optimization of data movement. This talk will discuss challenges and some promising directions in the quest to achieve the three desirables of performance, productivity, and portability in the development of high-performance software.


  Sadayappan is a Professor in the School of Computing at the University of Utah, with a joint appointment at Pacific Northwest National Laboratory. He was previously a Professor of Computer Science and Engineering and a University Distinguished Scholar at the Ohio State University. His primary research interests center around performance optimization and compiler/runtime systems for high-performance computing, with a special emphasis on high-performance frameworks that enable high productivity for application developers. He collaborates closely with computational scientists and data scientists in developing high-performance domain-specific frameworks and applications. Sadayappan received a B.Tech from the Indian Institute of Technology, Madras, and M.Sc. and Ph.D. from Stony Brook University, all in Electrical Engineering. Sadayappan is an IEEE Fellow.

太阳城充值中心登入 88游戏体育洗码 百家乐赌场女优结利彩票 龙8游戏网上娱乐 申博在线游戏代理登入
钱柜娱乐手机版官方下载 盛世现场娱乐 天博电子直营网 如意坊23大捕鱼游戏 金沙国际注册
bbin体育手机客户端下载 南通棋牌中心下载 牡丹电子洗码 拉斯维加斯游戏棋牌 立即博在线娱乐城
现金斗牛技巧 新博娱乐官网 菲律宾申博官方网 皇马十大赌场 pk棋牌游戏