Blar i Institutt for datateknologi og informatikk på forfatter "Al Hasib, Abdullah"
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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 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 ... -
Energy Efficient Computing on Multi-core Processors: Vectorization and Compression Techniques
Al Hasib, Abdullah (Doctoral theses at NTNU;2018:143, Doctoral thesis, 2018)Over the past few years, energy consumption has become the main limiting factor for computing in general. This has led CPU vendors to aggressively promote parallel computing using multiple cores without significantly ...