In the world of parallel programming, there are two major classes of programming models: shared memory and distributed memory. Shared memory models share all memory by default, and are most effective on multi-processor systems. Distributed memory models separate memory into distinct regions for each...
For this reason, we focus our research on the efficient parallelization of the SGD algorithm for matrix completion on a high performance computing (HPC) platform in distributed memory setting. We should note here that SGD is also utilized for sparse tensor completion [19]. We propose a new ...
vineyard (v6d): an in-memory immutable data manager. (Project under CNCF, TAG-Storage) distributed-systemscncfdistributedcloud-nativeshared-memorygraph-analyticsin-memory-storagebig-data-analyticssig-storagedistributed-comptag-storage UpdatedMar 13, 2025 ...
ucx - used to allocate and register memory via the UCX library By default HPC-X OpenSHMEM will try a to find the best possible allocator. The priority is verbs, sysv, mmap and ucx. It is possible to choose a specific memheap allocation method by running -mca sshmem <name>Parameters...
HPC Applications on Intel Sandy Bridge Machines PGAS Shared Memory Access OverviewThe Shared Memory Access (SHMEM) routines provide low-latency, high-bandwidth communication for use in highly parallel scalable programs. The routines in the SHMEM Application Programming Interface (API) provide a programmin...
distributed compu... hpc interprocess comm... ipc large data memory mex multicore multicore computing multiprocessor parallel computing ram shared memory Acknowledgements Inspired by: InplaceArray: a semi-pointer package for Matlab Inspired: guesemha, semaphore, DM Utils (data mining utils), MxAr...
degree in Computer Science at the same university. His main interests are distributed shared memory and cluster computing. Currently, he is doing his research at the CEPBA-IBM Research Institute. Toni Cortes is an Associate Professor at the Universitat Politecnica de Catalunya (Barcelona, Spain) ...
In this scheme, synchronization primitives are chosen such that they can be implemented efficiently in both hardware and software on distributed shared memory architectures, without the need for atomic semaphore instructions. The proposed solution is flexible as the configuration of the data ...
A novel caching algorithm for Compute Unified Device Architecture (CUDA) shared memory is proposed and implemented. The software is validated and the performance is evaluated for the well established dambreak test case. Program summary Program title: gpuSPHASE Catalogue identifier: AFBO_v1_0 Program...
A high performance computing system that includes a shared fabric memory and a plurality of processors is disclosed. A first processor is coupled to a local storage and executes a f