Adil Chhabra, a PhD candidate and current member of the Algorithm
Engineering Group, has been awarded the prestigious FTI Prize for his
outstanding master’s thesis, titled "Buffered Streaming Algorithms for
Solving the Edge Partitioning Problem". In this work, Adil addressed the
complex challenge of edge partitioning in large graphs. He developed a
novel algorithm, HeiStreamEdge, which operates in the buffered streaming
model, significantly reducing memory usage and computational time while
enhancing the quality of partitions. His thesis introduced an innovative
graph transformation technique that enables efficient edge partitioning
in the streaming context. We congratulate Adil on this remarkable
achievement! more ...
