Results 91 to 100 of about 220,437 (272)
Vectorized Highly Parallel Density-Based Clustering for Applications With Noise
IEEE AccessClustering in data mining involves grouping similar objects into categories based on their characteristics. As the volume of data continues to grow and advancements in high-performance computing evolve, a critical need has emerged for algorithms that can
Joseph Arnold Xavier +7 more
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Percolation scheduling for non-VLIW machines [PDF]
, 1990 Percolation Scheduling, a technique for compile-time code parallelization, has proven very successful for exploiting fine-grain irregular parallelism in ordinary programs.
Brownhill, Carrie J., Nicolau, Alexandru
core
High Throughput Virtual Screening with Data Level Parallelism in Multi-core Processors
, 2013 Improving the throughput of molecular docking, a computationally intensive phase of the virtual screening process, is a highly sought area of research since it has a significant weight in the drug designing process.
Prabuddha, Rahal +2 more
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Wildlife Biology, EarlyView.Glucocorticoids regulate many physiological functions and play an important role in coping with challenging stimuli. The non‐invasive assessment of glucocorticoids is increasingly used as a tool to evaluate individual and population health status in wild animals.
Carlo Cinque +6 more
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RPPM : Rapid Performance Prediction of Multithreaded workloads on multicore processors [PDF]
, 2019 Analytical performance modeling is a useful complement to detailed cycle-level simulation to quickly explore the design space in an early design stage. Mechanistic analytical modeling is particularly interesting as it provides deep insight and does not ...
Akram, Shoaib +3 more
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, 1997 Exploitation of potential parallelism is obviously a major source of code optimization. This chapter therefore focusses on DSP-specific techniques, which aim at parallelization of generated vertical machine code. In the first part, we consider the area of memory address generation.
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Intelligent Medical Diagnosis Model Based on Graph Neural Networks for Medical Images
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Recently, numerous estimation issues have been solved due to the developments in data‐driven artificial neural networks (ANN) and graph neural networks (GNN). The primary limitation of previous methodologies has been the dependence on data that can be structured in a grid format.
Ashutosh Sharma, Amit Sharma, Kai Guo
wiley +1 more source
Instruction scheduling and software pipelining for modern architectures
Труды Института системного программирования РАН, 2018 We describe the approach for instruction scheduling and software pipelining based on a two-stage extensible architecture of detecting and using the available instruction level parallelism.
Arutyun Avetisyan
doaj
Fine-grain parallelization versus the wavefront method [PDF]
, 1989 We develop a technique for extracting parallelism from ordinary (sequential) programs. The technique combines two fine-grain, instruction level code transformations to achieve effects similar to the wavefront method.
Aiken, Alexander, Nicolau, Alexandru
core
Exploiting superword level parallelism with multimedia instruction sets [PDF]
, 2000 S. Larsen, Saman Amarasinghe
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