Genomics is on the verge of a breakthrough. With cost decreasing and accuracy increasing, the amount of data generated will make genomics accessible for a whole new generation of population level research. This talk will highlight the challenges faced in this emerging era of genetic data abundance and explore what accelerating workflows means for health outcomes.
Emerging heterogeneous systems are opening up tons of programming opportunities. This panel will discuss the latest developments in accelerator programming where the programmers have a choice among OpenMP, OpenACC, CUDA and Kokkos for GPU programming. This panel will throw light on what would be the primary objective(s) for a choice of model, whether its availability across multiple platforms, its rich feature set or its applicability for a certain type of scientific code or compilers' stability or other factors. This will be an interactive Q/A session where participants can discuss their experiences with programming model experts and developers.
This panel will discuss the current state of GPU programming using compiler directives, such as OpenACC and OpenMP. This session is a forum for discussing both the successes and shortcomings of using compiler directives to program GPUs. The panel will include users, speakers from compiler and tools vendors, and representatives of open source efforts to support directives. Session participants are encouraged to participate in the discussions of this panel.
This session will showcase the results of the inaugural GPU Hackathon held at the Oak Ridge Leadership Computing Facility. The event hosted six teams paired with mentors over a week where applications where ported to GPUs using OpenACC directives. The talk will describe the progress of each team from beginning to end as well as details about their implementation. Best practices, lessons learned as well as anecdotes from mentors who participated in this training event will be shared.
This presentation will focus on early outcomes from Titan, the world''s fastest supercomputer. We will showcase results from the Center for Accelerated Application Readiness, or CAAR, where Titan''s manufacturer Cray, NVIDIA, and scientific computing experts at OLCF have collaborated to make several applications ready to use Titan''s GPU accelerators. This talk will also explore some best practices the CAAR team learned in the process of porting CPU-only applications to Titan''s GPU-accelerated architecture. Preliminary Early Science results from users running on Titan will be discussed, including, for example, applications in combustion for advanced engines, properties of magnetic materials for clean energy applications, and reactor modeling for today''s fleet of light-water reactors. Lastly, details about Titan system setup, OLCF resources, and how to apply for time on Titan''s 18,688 GPU accelerated nodes will be shared.