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Parallelism within a single chip allows several different processing units to share the same memory, so the memory's slowness is not such a problem.This is because the limiting factor is not so much the throughput of memory chips (the rate at which data can be moved in and out of them) but the administrative overhead associated with moving information in and out of the processor.
For instance, in order to optimize the throughput of memory, we have aligned all the B+ tree nodes in addresses multiple of 64 bytes.
In this paper, we introduce a packet-based, off-chip interconnect to increase the throughput of memory system currently used on line cards.
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A T-maze olfactometer was designed to allow high-throughput testing of memory retention in Nasonia.
A variety of metrics such as throughput scalability, latency, impact of memory hierarchy, thread pinning strategies, synchronization mechanisms, and memory consumption, are measured in order to obtain the deep insights about performance impediments and good design choices.
Simulations show high throughputs over a variety of memory loads.
Experimental results show that the throughput of HMFS approaches the memory bus bandwidth in best cases.
Utilizing the improved memory throughput of NVIDIA's Tesla K20 GPU a 2.5 times improvement was observed compared to a parallel CPU implementation on all 10 cores of an Intel Xeon E5-2670 v2.
A streaming memory system is designed to enable high-throughput computation and efficient use of memory resources.
To achieve a high throughput, on-chip memory (shared memory) should be used if threads require frequent data access.
We then compare the performance of SACS in terms of memory usage and throughput against the two competing algorithms.
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