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However, offerings targeted specifically at compute-intensive applications such as Amazon's Cluster instance types [9] are beginning to address the performance gap [8], in terms of the compute performance of individual nodes but also the IO bandwidth and low latency required, through higher-performance network interconnects and the introduction of the concept of 'placement groups'.
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"If you have to describe a result in my lab in terms of the computing chip," he continued, "plus the measuring apparatus, plus the computer doing data collection, plus the experimenter at the bench... at some point you just have to give up and say, Now quantum mechanics doesn't matter anymore, now I just need a classical result.
Massively parallelism certainly helped both in terms of the computes.
"Our budget, in terms of the computing power we can afford, makes about twenty-five hundred square miles of the American landscape searchable," Levin said.
Our approach proved to have some advantages over these two testing approaches, mainly in terms of the computing time and the lack of assumption of an underlying model.
The efficiency of each implicit multigrid scheme is assessed in terms of the computing time required for two laminar flow problems: the entry flow through a 90° bent square duct, and the steady-state and unsteady flows past a prolate spheroid at incidence with an axis ratio of 4 : 1.
The very fact that it's costly in terms of the computing power 'work' required to operate is what makes it unbreakable.
The size of the genomic and protein sequence database grows exponentially, exceeding even Moore's Law in terms of the requirements for computing hardware.
The L1SVM method usually outperforms the BASELINE method in terms of the average of the computed self-ranks.
Since the computational complexity of a user selection scheme mainly comes from computation of the precoding matrices, we measure the computational complexity in terms of the required number of computing precoding matrices.
Results show that this new method is simpler and more efficient than the previous methods in terms of the model accuracy and computing cost.
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