Sentence examples for memory requirements to from inspiring English sources
In the new proposal, the indices of the survivor paths can be stored, reducing the memory requirements to MU.
Special data structures are designed for high performance and to keep the memory requirements to a minimum.
Although the split VQ approach is suboptimal, it reduces computational complexity and memory requirements to manageable limits without severely affecting the VQ performance.
In our implementation the default block size is 8. Unfortunately, the improved robustness of the block-Arnoldi method compared with the standard Arnoldi method comes at the price of increased memory requirements to store the basis.
As a consequence, the memory requirements to support the active clients are reduced and a higher number of blocks belonging to the requested videos will remain in the memory to be accessed again by newer clients.
Apart from these large computational requirements, other operations such as delay caused by interleaving and deinterleaving, memory requirements to store the extrinsic information provided by both the decoders and the puncturing operation required at the receiver to combine the extrinsic information of uncoded and coded bits, are in principle higher for DFE-turbo-BICM than DFE-BICM-ID.
We derive an overlapping scheme and minimum memory requirement to avoid the IO overhead.
A simplified model, which assumes that the horizon of the material δ="O N-1), was prO N-1d to reduce the computational cost and memory requirement to O(N).
By collaborating with the team that produced another Facebook open-source project, similarity search (FAISS), the company was able to reduce the memory requirement to just a few hundred kilobytes.
In addition, memory requirement to store the aggregated packets may increase the cost of end devices and depending on the device category, this may not always be available (in particular when the maximum number of aggregated packets is large or when packets are large).
In this work, we introduce a new technique which drastically reduces the computation time and memory requirement to simulate time-dependent quantum systems which is based on the use of an appropriately tailored neural network combined with the signed particle formalism.
