Presentation
AutoSlim: Intelligent Automata Graph Optimization for Efficient Acceleration
DescriptionModern high performance computing increasingly relies on sophisticated graph-based models to represent and manipulate symbolic data. From bioinformatics and cyber security to inference of the AI model and text analytics, these applications often use directed graphs to capture complex dependencies and transitions between states. However, as data sets and patterns grow in complexity and size, graph representations—composed of nodes and edges—also expand dramatically, resulting in excessive memory usage, power consumption, routing congestion, and inefficiencies in hardware acceleration platforms such as field-programmable gate arrays (FPGAs).
Event Type
Research and ACM SRC Posters
TimeTuesday, 18 November 20258:00am - 5:00pm CST
LocationSecond Floor Atrium
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