For example, in Section 4.2, the cuRatio is 0.80 and 0.95 when using 15 CPU cores and 1 CPU core (note that one CPU core is used for CUDA
In  an efficient algorithm for block-size motion estimation with fractional pixel refinement using CUDA
GPU is presented.
The parallel solution with CUDA
for (1) is described in Algorithm 1.
Glenn Dawson, President and Chief Executive Officer of Cuda
stated: 'This is a significant transaction for Cuda
shareholders in its magnitude and strategic creation of a pure play company in the Powder River Basin which has been described as the 'Permian of the Rockies'.
* On June 26, 2019, Cuda
amended its $35 million credit facility with an institutional lender to extend the maturity of the facility to June 27, 2020, and a new $8 million credit facility was made available to Cuda
by the lender.
As it was mentioned before, the remaining steps of OClustR were not implemented in CUDA
because they are more favored with a CPU implementation since they are high memory consumption tasks.
Plants were propagated at the University of Florida, Entomology & Nematology Department nursery using methods described by Cuda
Fiat Chrysler Automobiles, a company formed by the reorganisation of Fiat and Chrysler, is planning to resurrect the Cuda
name for a new high-performance car.
, GPU, Memory, Kernel Function, Software Performance
With a growing market for embedded solutions requiring more features and more capacities, we are very pleased that Toradex developed a fully capable CUDA
6.5 module leveraging the Jetson TK1 platform's extreme capacities for parallel computing and thus enabling the developer community and the industry to create smarter groundbreaking products and solutions," said Serge Palaric, Senior Director, EMEA Embedded & OEMs Sales.
With the advent of NVIDIA Compute Unified Device Architecture (CUDA
) technology, it is now possible to perform general-purpose computation on GPUs.
There are alternatives for parallelizing the convolution, such as shared memory OpenMP parallelism, distributed MPI parallelism, Maxeler dataflow parallelism, General Purpose GPU CUDA
parallelism and etc.