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From "Geir Magnusson Jr." <ge...@apache.org>
Subject Re: [Fwd: TALK:Wednesday 10-26-05 End-to-End Performance Optimization of Java Server]
Date Tue, 18 Oct 2005 08:25:36 GMT
Hey, I can be there, it seems.  Who else?  We can get together for  
lunch beforehand...


On Oct 17, 2005, at 10:37 PM, Stefano Mazzocchi wrote:

> for those in cambridge, ma or surroundings.
> -- 
> Stefano.
> From: CSAIL Event Calendar <eventcalendar@csail.mit.edu>
> Date: October 17, 2005 5:23:50 PM BDT
> To: seminars@csail.mit.edu
> Subject: TALK:Wednesday 10-26-05 End-to-End Performance  
> Optimization of Java Server
> End-to-End Performance Optimization of Java Server Workloads
> Speaker: Jong-Deok Choi
> Speaker Affiliation: IBM T. J. Watson Research Center
> Host: Martin Rinard
> Host Affiliation: CSAIL
> Date: 10-26-2005
> Time: 2:00 PM - 3:00 PM
> Refreshments: 1:45 PM
> Location: 32-D463 Star
> The size and complexity of large-scale commercial middleware  
> systems, such as J2EE, and their workloads makes it difficult to  
> understand and optimize the performance of such systems. A J2EE  
> middleware with its application may have tens of thousands of  
> methods, hundreds of concurrently executing threads, and runtime  
> stacks that are hundreds of methods deep. While acting like an  
> operating system for its applications and providing various runtime  
> services, J2EE runs on a Java Virtual Machine (JVM) as an  
> application mostly written in Java. The JVM itself provides its own  
> various runtime services, such as synchronization and garbage  
> collection, and in turn relies on the underlying operating system  
> for OS services such as threading and memory management. This  
> complicated interaction among the various layers of the software  
> (and hardware) stack is a major source of the challenge to  
> understanding and optimizing the performance of such large-scale  
> middleware systems and their applicat
>  ions.
> In this talk, I will first present a brief description of the whole- 
> stack, end-to-end analysis and optimization system we have  
> developed at IBM T. J. Watson Research Center for Websphere  
> Application Server (WAS), which is IBM's implementation of the  
> J2EE. After that, I will present runtime data and their analysis  
> results from the various layers of the SW and HW stack running WAS  
> and its key benchmark programs, and compare them with those of  
> SPECjbb, a Java benchmark program widely used by Java performance  
> researchers. I will also present a few of the performance  
> bottlenecks we have found, and their optimization.
> Bio:
> Jong-Deok Choi is a Research Staff Member (RSM) and Manager of the  
> High Performance Programming group at the IBM T. J. Watson Research  
> Center in Yorktown Heights, New York. He is a project co-leader of  
> the End-to-End Server Optimization project, a cross-organizational  
> effort in IBM for improving the performance of commercial eServer  
> applications on IBM's server platforms. Since joining Watson  
> Research in 1989, he has been involved in various research and  
> development projects - in the areas of program analysis,  
> optimization, and debugging - such as PTRAN, TPO, Jalapeno, DejaVu,  
> JikesRVM, and End-to-End Optimization. His research interests  
> include static and dynamic analysis and optimization of commercial  
> and scientific applications, middleware analysis and optimization,  
> high performance computer architecture, and debugging multithreaded  
> and distributed applications.
> He received B.S. in Electronic Engineering from SNU, Korea in 1979,  
> M.S. in Electrical Engineering from KAIST, Korea in 1981, and M.S.  
> and Ph.D. both in Computer Sciences from Univ. of Wisconsin-Madison  
> in 1985 and 1989, respectively.
> Relevant URL(S):
> For more information please contact: Mary McDavitt, 617-253-9620,  
> mmcdavit@csail.mit.edu
> _______________________________________________
> Seminars mailing list
> Seminars@lists.csail.mit.edu
> https://lists.csail.mit.edu/mailman/listinfo/seminars

Geir Magnusson Jr                                  +1-203-665-6437

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