UPC++ provides functions for non-contiguous RMA data transfers to/from arrays in shared memory, for example to efficiently copy or transpose sections of N-dimension dense arrays. UPC++ introduces several complementary mechanisms for efficiently passing large and/or complicated data arguments to RPCs. RPC can be used to access remote instances. UPC++ enables construction of a scalable distributed object from any C++ object type, with one instance on each rank of a team. Remote atomics use an abstraction that enables efficient offload where hardware support is available.ĭistributed objects. Including acceleration of GPU memory transfers via RDMA offload on compatible hardware.įuture releases will continue to refine this capability. UPC++ provides uniform interfaces for RMA transfers among host and device memories, UPC++ uses a continuation-based model to express task dependencies. Futures are central to handling asynchronous operation of RMA and RPC. UPC++ provides asynchronous Remote Procedure Call for running code (including C++ lambdas) on other processes.įutures, promises and continuations. Put and Get) for movement of data among processes. UPC++ provides asynchronous one-sided communication (Remote Memory Access, a.k.a. UPC++ encourages the use of scalable data-structures and avoids non-scalable library features. Most operations are non-blocking, and the powerful synchronization mechanisms encourage applications to design for aggressive asynchrony.Īll communication is explicit - there is no implicit data motion. These changes reflect a design philosophy that encourages the UPC++ programmer to directly express what can be implemented efficiently (ie without a need for parallel compiler analysis). However, there are departures from the approaches taken by some predecessors such as UPC. UPC++ exposes a PGAS memory model, including one-sided communication (RMA and RPC). It leverages GASNet-EX to deliver low-overhead, fine-grained communication, including Remote Memory Access (RMA) and Remote Procedure Call (RPC). UPC++ is a C++ library that supports Partitioned Global Address Space (PGAS) programming, and is designed to interoperate smoothly and efficiently with MPI, OpenMP, C++/POSIX threads, CUDA, ROCm/HIP, oneAPI and other HPC frameworks. See what real users have to say about UPC++!.Upcoming and past training events for UPC++, and an archive of prior releases.Includes Pagoda group publications and citation information for the documentation.Extended example codes and tutorial materials.Optional extensions, including a dist_array class template for scalable distributed arrays.Formal specification of the UPC++ library interface.A gentle introduction to UPC++ with examples and descriptions.See README.md, ChangeLog.md, and INSTALL.md.Note: Usage information for public installs of UPC++ at certain computing centers.Contains everything you need to start using UPC++ on supported platforms.The exascale successor to the widely used NWChem computational chemistry library now includes support for UPC++-based communication in their critical Tensor Algebra for Many-body Methods (TAMM) module!Ī UPC++ Training site is now available, including video tutorials!.The GASNet communication layer that underpins UPC++ is proudly celebrating 20 years of providing high-quality/high-performance middleware for alternative HPC programming models.įor more information, see this coverage in HPCWire.Notably adds experimental support for a new ze_device memory kind for Intel GPUs using oneAPI Level Zero.March 31, 2023: A new UPC++ 2023.3.0 release is now available for download! Register now to join us for this free online introduction to Chapel, UPC++ and Coarray Fortran!.July 26-27, 2023: Interactive online PGAS tutorial
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