Session
IA^3 2024 - 14th Workshop on Irregular Applications: Architectures & Algorithms
Session Chairs
DescriptionDue to the heterogeneous datasets they process, data-intensive applications employ diverse methods and data structures, exhibiting irregular data accesses, control flows, and communication patterns. Modern data analytics applications additionally require supporting dynamic data structures, asynchronous control flows, and mixed parallel programming models. Supercomputing systems are organized around software and hardware optimized for data locality and bulk synchronous computations. Managing irregular behaviors requires a substantial programming effort and lacks integration, leading to poor performance. Holistic solutions to these challenges emerge only by considering the problem from multiple perspectives: from micro- to system-architectures, from compilers to languages, from libraries to runtimes, and from algorithm design to data characteristics. Only collaborative efforts among researchers with different expertise, including domain experts and end-users, can lead to significant breakthroughs. This workshop brings together scientists with different backgrounds to discuss methods and technologies for efficiently supporting irregular applications on current and future architectures.
Event TypeWorkshop
TimeSunday, 17 November 20249am - 5:30pm EST
LocationB310
Graph Algorithms
Heterogeneous Computing
Programming Frameworks and System Software
W
Presentations