Oct
16
Wed
Tools and Techniques for Floating-Point Analysis
Oct 16 @ 1:00 pm – 2:00 pm

The IDEAS Productivity project, in partnership with the DOE Computing Facilities of the ALCF, OLCF, and NERSC and the DOE Exascale Computing Project (ECP) has resumed the webinar series on Best Practices for HPC Software Developers, which we began in 2016.

As part of this series, we offer one-hour webinars on topics in scientific software development and high-performance computing, approximately once a month. The next webinar is titled Tools and Techniques for Floating-Point Analysis, and will be presented by Ignacio Laguna (Lawrence Livermore National Laboratory). The webinar will take place on Wednesday, October 16, 2019 at 1:00 pm ET.

Abstract:

Scientific software is central to the practice of research computing. While software is widely used in many science and engineering disciplines to simulate real-world phenomena, developing accurate and reliable scientific software is notoriously difficult. One of the most serious difficulties comes from dealing with floating-point arithmetic to perform numerical computations. Round-off errors occur and accumulate at all levels of computation, while compiler optimizations and low-precision arithmetic can significantly affect the final computational results. With accelerators such as GPUs dominating high-performance computing systems, computational scientists are faced with even bigger challenges, given that ensuring numerical reproducibility in these systems poses a very difficult problem. This webinar provides highlights from a half-day tutorial discussing tools that are available today to analyze floating-point scientific software. We focus on tools that allow programmers to get insight about how different aspects of floating-point arithmetic affect their code and how to fix potential bugs.

Nov
1
Fri
ECP/NERSC UPC++ Tutorial @ Lawrence Berkeley National Laboratory, Shyh Wang Hall, Bldg 59, Room 59-3101
Nov 1 @ 9:00 am – 2:00 pm

Registration is now open for the one day ECP/NERSC UPC++ tutorial.

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. UPC++ provides mechanisms for low-overhead one-sided communication, moving computation to data through remote-procedure calls, and expressing dependencies between asynchronous computations and data movement. It is particularly well-suited for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces are designed to be composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds.

In this tutorial we will introduce basic concepts and advanced optimization techniques of UPC++. We will discuss the UPC++ memory and execution models and walk through implementing basic algorithms in UPC++. We will also look at irregular applications and how to take advantage of UPC++ features to optimize their performance.

This event can be attended on-site at NERSC or remotely via Zoom.  The remote connection information will be provided to the registrants closer to the event.  Registration is required for this event and space is limited so please register as soon as possible. Registration closes for this event when the limit is reached or on October 18, 2019.