Blar i NTNU Open på forfatter "Cebrian, Juan Manuel"
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A vectorized k-means algorithm for compressed datasets: design and experimental analysis
Al Hasib, Abdullah; Cebrian, Juan Manuel; Natvig, Lasse (Journal article; Peer reviewed, 2018)Clustering algorithms (i.e., Gaussian mixture models, k-means) tackle the problem of grouping a set of elements in such a way that elements from the same group (or cluster) have more similar properties to each other than ... -
Energy Efficiency and Performance Evaluation of Register Level Bitonic Sort: on ARM Mali Powered Exynos 5 Processor
Guise, Matthew (Master thesis, 2014)Energy is one of the most important aspects impacting the reality of reach-ing exascale computing capabilities. In order to build super computers withthis computing power new hardware needs to be considered in their de-sign. ... -
Energy Efficiency Effects of Vectorization in Data Reuse Transformations for Many-Core Processors—A Case Study
Al Hasib, Abdullah; Natvig, Lasse; Kjeldsberg, Per Gunnar; Cebrian, Juan Manuel (Journal article; Peer reviewed, 2017)Thread-level and data-level parallel architectures have become the design of choice in many of today’s energy-efficient computing systems. However, these architectures put substantially higher requirements on the memory ... -
Near-optimal multi-accelerator architectures for predictive maintenance at the edge
Koraei, Mostafa; Cebrian, Juan Manuel; Jahre, Magnus (Peer reviewed; Journal article, 2023) -
Scalability analysis of AVX-512 extensions
Cebrian, Juan Manuel; Natvig, Lasse; Jahre, Magnus (Journal article; Peer reviewed, 2019)Energy efficiency below a specific thermal design power (TDP) has become the main design goal for microprocessors across all market segments. Optimizing the usage of the available transistors within the TDP is a pending ...