Ed Merks leads the Eclipse Modeling Framework project as well as the top-level Eclipse Modeling project. He is a coauthor of the authoritative book “EMF: Eclipse Modeling Framework” which is published as a second expanded edition. He is an elected member of the Eclipse Foundation Board of Directors and has been recognized by the Eclipse Community Awards as Top Ambassador, Top Committer, and Top Newcomer Evangelist. Ed is currently interested in all aspects of Eclipse modeling and its application and is well recognized for his dedication to the Eclipse community, posting literally thousands of newsgroup answers each year. He spent 16 years at IBM, achieving the level of Senior Technical Staff Member after completing his Ph.D. at Simon Fraser University. He is a partner of itemis AG. His experience in modeling technology spans 25 years.
Performance tuning Java is as much an art as it is a science. Understanding the intrinsic performance characteristics of method calls, heap allocations, and casts is essential for developing efficient code at the micro level. Understanding the overall performance of applications as a whole is essential for developing efficient algorithms at the macro level. It’s critically important in all cases to measure in several different ways and to double check that those measurements are consistent. It’s also critical to beware of the JIT effect: many things get faster with repeated use, even to the point where some things are simply free. In this presentation I will share my experience with performance tuning EMF and EMF-based applications specifically; the insights gained have broad application.