Distributed processing of large-scale graph data has many practical applications and has
been widely studied. In recent years, a lot of distributed graph processing frameworks and …

The vertex-centric programming model is an established computational paradigm recently
incorporated into distributed processing frameworks to address challenges in large-scale …

Bridging cultures that have often been distant, Julia combines expertise from the diverse
fields of computer science and computational science to create a new approach to …

We describe the design and implementation of FaRM, a new main memory distributed
computing platform that exploits RDMA to improve both latency and throughput by an order …

Modern parallel architectures have both heterogeneous processors and deep, complex
memory hierarchies. We present Legion, a programming model and runtime system for …

We present DrTM, a fast in-memory transaction processing system that exploits advanced
hardware features (ie, RDMA and HTM) to improve latency and throughput by over one …

The significant increase in complexity of Exascale platforms due to energy-constrained,
billion-way parallelism, with major changes to processor and memory architecture, requires …

The recent switch to parallel microprocessors is a milestone in the history of computing.
Industry has laid out a roadmap for multicore designs that preserves the programming …

Commodity computer systems contain more and more processor cores and exhibit
increasingly diverse architectural tradeoffs, including memory hierarchies, interconnects …

Innovations in hardware architecture, such as hyper-threading or multicore processors,
make parallel computing resources available for computer systems in different areas …