Examples of using Distributed memory in English and their translations into French
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Distributed memory.
Differences with Distributed Memory Multiprocessing.
Distributed memory.
The other paradigm is said distributed memory.
Distributed memory multiprocessing.
Distributed memory multiprocessing.
For both shared memory and distributed memory machines.
SYMPATI is a distributed memory multiprocessor system comprising a large number of processors.
It runs in parallel with MPI on distributed memory machines.
With a distributed memory, the bottleneck is situated at the level of the communication interface.
It used Memcached, a distributed memory caching system.
Large scale machines typically embed several levels of caches and a distributed memory.
It is designed for distributed memory parallel machines.
On distributed memory computers such as PC clusters communication time are important.
As an example,we will package memcached, a distributed memory cache.
On an architecture with distributed memory, the memory space must be overdimensioned.
The LogP machine consists of arbitrarily many processing units with distributed memory.
In distributed memory, parallelization of these kernels is often done by changing the numerical scheme.
It is a de facto standard for communication among the nodes running a parallel program on a distributed memory system.
In distributed memory MIMD machines, each processor has its own individual memory location.
Advanced high-performance FPGA logic based on real 6-input lookup table(LUT)technology configurable as distributed memory.
Memcached is a generic distributed memory object caching system for increasing the load speed of dynamic database-powered web sites.
This master's thesis presents an implementation of lazy task creation for distributed memory multiprocessors.
Abstract: The difficulty of programming distributed memory parallel architectures is an impediment to the exploitation of their potential computational power.
Abstract: This thesis is a contribution to the study of dynamic investment process on multiprocessor machines with distributed memory.
These methods should be able to fully exploit the parallel computer architectures,preferably distributed memory, that are cheaper and more likely to be found in the industry.
Unified Parallel C(UPC) is an extension of the C programming language designed for high-performance computing on large-scale parallel machines,including those with a common global address space(SMP and NUMA) and those with distributed memory e. g. clusters.
OCCIGEN is powered by the 12 cores Intel® Xeon® E5-2690 v3 processor, for a total amount of 50 000 cores andits balanced architecture includes more than 200 TB of distributed memory and an I/O subsystem able to manage data at a speed of over 100GB/s, using Intel supported Lustre* software.
Based on the platform of the latest generation of the Bull Sequana X1000, which will eventually be capable of achieving an exaflop(a billion billion operations per second),the first instalment of this supercomputer will have a peak computing power of 8.9 petaflops and a distributed memory capacity of almost 400 terabytes.