More information: Picasso S M Ferdous et al, Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing, 2024 IEEE International Parallel and Distributed ...

Using HPC techniques, a knowledge graph can be sharded across the machines of a large cluster and processed in parallel. The second reason HPC techniques are essential for large-scale computing on ...

TigerGraph is a distributed, native graph computing platform designed to get around these limitations. TigerGraph’s native parallel graph architecture and real-time deep link analytics aim to ...

And we wrap up our reader commentary section with Bill Gropp, Director of the Parallel Computing Institute at the University of Illinois Urbana-Champaign. Gropp sums up our question, “Why is the Graph ...

With Blazegraph high-performance computing on a cluster of 64 NVIDIA K40 GPUs, users can traverse a scale-free graph of 4.3 billion directed edges ... without the need for parallel programming ...

TigerGraph’s eBook “Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics,” discusses what developers need to learn in order to leverage the power of graph ...

Pingali is the CEO and co-founder of Katana Graph, which is a startup based on this technology ... Pingali received a certificate and a $1,000 honorarium for his contributions to parallel computing.

Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom.