Sentence examples for computation sharing from inspiring English sources

Golem, which recently raised $8.6 million in Initial Coin Offering (ICO), has created a peer-to-peer computation sharing platform on the Ethereum blockchain, which it dubs 'Airbnb for computers.' Golem enables application owners and individual users to rent the computing resources of other users and pay for it directly in cryptocurrency.

Do all computations share certain characteristic marks with one another?

However, it is unclear how this could be achieved in circuits where gamma and rate-coded computations share common synaptic mechanisms, as this would require variation in synaptic properties to differentially affect gamma activity and the rate coded computation.

Although we can adopt parallel computation to share the load, a large number of grid blocks still pose significant computational challenges.

The only requirement for enabling concurrent computation on shared memory multi-core systems using OpenMP [ 88] is that the core algorithms are independent of shared global variables and thus thread-safe.

In a recent study, Kempen et al. (forthcoming) found evidence for a common grammatical workspace: the mechanism that constructs (in production) or deconstructs (in comprehension) syntactic structures and the short-term storage of the result of this computation is shared between the modalities.

The first level provides sharing computation among all the 16 SPE cores of the IBM BladeCenter QS21 or QS22.

We give a complete presentation of the theory of bigraphs with sharing, including a categorical semantics, algebraic properties, and several essential procedures for computation: bigraph with sharing matching, a SAT encoding of matching, and checking a fragment of the logic BiLog.

A common way to parallelize likelihood computations on shared memory architectures is by parallelizing over the sites of the MSA.

Sharing computations across databases also seems a promising avenue.

For a large value p, that is large-scale multiple problems, active-set algorithms have dramatic computational advantage over interior-point [ 22] and proximal [ 23] methods unless these methods have a scheme of sharing computations.