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This dissertation presents such an architecture for high performance execution of Prolog programs.
This parallel architecture is implemented in modern Field-Programmable Gate Arrays (FPGAs) devices to provide high performance execution and flexibility to support large-scale SNN models.
According to Alexandru, scientific workloads often require High-Performance Computing capabilities, in which scientific computing community has started to focus on MTC, this means high performance execution of loosely coupled applications comprising many tasks.
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The designed processors use a combination of very-long instruction-word (VLIW), single-instruction multiple-data (SIMD), and complex custom DSP-like operations in order to provide an area- and energy-efficient and high-performance execution of the program parts assigned to the processor node.
We achieved the high sustained performance by the execution of AFES with T1279L96 resolution on the ES.
With the cooperation of the hardware-based POC folding model, higher execution performance can be achieved by executing the newly generated class images.
Although other MapReduce implementations, such as Spark [36] and Hadoop [37], can provide scalability and fault tolerance, they are tailored to commodity hardware and cannot perform efficient execution on high-performance computing resources.
Ray is a high-performance distributed execution framework targeted at large-scale machine learning and reinforcement learning applications.
The combination of large datasets and sophisticated analysis often requires high-performance computational resources for successful execution.
Software tasks implementing higher-performance controllers are assumed to require a larger worst-case execution time.
High-performance computing technologies have therefore been extensively used to enable parallel simulation execution.
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