Looks like this event has already ended.
Check out upcoming events by this organizer, or organize your very own event.
Adam Machanic: Surfing the Multicore Wave: Processors, Parallelism, and Performance
Friday, May 17, 2013 from 8:45 AM to 4:45 PM (EDT)
Surfing the Multicore Wave: Processors, Parallelism, and Performance
Today's server hardware ships with a truly massive amount of CPU power. And while SQL Server is designed to automatically and seamlessly take advantage of available processing resources, there are a number of options, settings, and patterns that can be exploited to optimize parallel processing of your data. This full-day seminar starts with an overview of CPU scheduler internals from the perspective of both Windows and the SQL Server Operating System (SQLOS). Next, you will learn about intra-query parallelism, the method that SQL Server uses to break up large tasks into many smaller pieces, so that each piece can be processed simultaneously. You will come to understand how to read parallel query plans and how to interpret parallel wait statistics, as well as best practices for the various parallelism settings within SQL Server. Finally, you will be introduced to techniques for exploiting parallelism at the query level: patterns that can help the optimizer do a better job of parallelizing your query. After attending this seminar, you will be in full control of your CPUs, able to compel your server to use every clock tick to your end users' advantage.
This session is intended for mid-level to advanced DBAs and DB developers.
Module 1: History and Theory
- CPU evolution over time
- Heat and dissipation
- Moore’s Law
- Amdahl’s Law
- Gustafson’s Law
- How this all fits together
Module 2: Windows Process/Thread Internals
- Context switching
- Clock interrupts
Module 3: SQL Server Scheduler Internals
- SQLOS workers and schedulers
- Waits and queues
- Important DMVs
Module 4: Query Processor Parallelism
- Parallel iterators
- Non-parallel iterators
- Row distribution strategies
- How to read and mine data from parallel query plans
Module 5: Controlling Parallelism at the Query Level
- Ideal parallel query patterns
- Parallelism inhibitors and workarounds
- The mathematics of "super-scaling" parallel queries
Module 6: Server Settings that Influence Parallelism
- Affinity masks
- Worker threads
- Cost threshold
- Resource Governor
- OLTP vs. OLAP vs. mixed workload considerations
Module 7: Monitoring Parallel Processes
- Parallel task architecture and the Tasks DMV
- Parallel waits and the Waiting Tasks DMV
- Finding out how much work is being done
- Finding parallel and serial plans in the cache
Adam Machanic is a Boston-based SQL Server developer, writer, and speaker. He focuses on large-scale data warehouse performance and development, and is author of the award-winning SQL Server monitoring stored procedure, sp_WhoIsActive. Adam has written for numerous web sites and magazines, including SQLblog, Simple Talk, Search SQL Server, SQL Server Professional, CoDe, and VSJ. He has also contributed to several books on SQL Server, including "SQL Server 2008 Internals" (Microsoft Press, 2009) and "Expert SQL Server 2005 Development" (Apress, 2007). Adam regularly speaks at conferences and training events on a variety of SQL Server topics. He is a Microsoft Most Valuable Professional (MVP) for SQL Server, a Microsoft Certified IT Professional (MCITP), and an alumnus of the INETA North American Speakers Bureau.
Continental breakfast, lunch, breaktime refreshments, and printed seminar materials are included. Parking at GSU campus is free. Event sign-in and breakfast begins 30 minutes before session start.
|Registered attendees may cancel and receive a refund of the event price before 12:00 noon EDT on Sunday, May 12, 2013.|
|No refunds will be honored after that date. Service and credit card fees are non-refundable.|
To cancel your registration and request a refund, email "Cancel Pre-Conference SQL Saturday 220" to the address included in your confirmation email.
Don't forget the free SQL Saturday #220 event on May 18, 2013! For more info and to register for SQL Saturday, please visit http://www.sqlsaturday.com/220/eventhome.aspx