High performance computing for big data analytics: solution environments and coding

Yıl 2021, Cilt: 2 Sayı: 2, 66 - 71, 29.06.2021

Prof. Dr. Hamza Erol

Öz

Stream or multilayered big data, size and complexity is defined in this study. High performance computing systems used in big data analytics; Single processor - single core structure: standard computing architecture; Single processor - multi core structure: parallel computing architecture and Multi processor - multi core structure: distributed computing architecture are explained. Computing environments used in these systems have been examined. Hardware computing or hardware acceralated computing and software computing or software optimized computing are emphasized. Learning methods applied in big data analytics: statistical learning, machine learning and deep learning were expressed. Artificial intelligence has been explained as the result or product-oriented applications of these learning methods. Google Colabratory as a web-based solution environment in stream or multilayered big data analytics and Python applications for code development in this environment have been given.

Anahtar Kelimeler

Big data analytics, High performance computing, Learning methods

Büyük veri analitiği için yüksek performans hesaplama: çözüm ortamları ve kodlama

Öz

Bu çalışmada akan veya katmanlı büyük veri, hacmi ve karmaşıklığı tanımlanmıştır. Büyük veri analitiğinde kullanılan; Tek işlemci - tek çekirdek yapısı: standart hesaplama mimarisi; Tek işlemci - çok çekirdek yapısı: paralel hesaplama mimarisi ve Çok işlemci - çok çekirdek yapısı: dağıtık hesaplama mimarisi biçimlerindeki yüksek performans hesaplama sistemleri açıklanmıştır. Bu sistemlerde kullanılan hesaplama ortamları incelenmiştir. Donanım hesaplama ya da donanım hızlandırılmış hesaplama ve Yazılım hesaplama ya da yazılım optimize edilmiş hesaplama konuları vurgulanmıştır. Büyük veri analitiğinde uygulanan öğrenme yöntemleri: istatistiksel öğrenme, makine öğrenme ve derin öğrenme ifade edilmiştir. Bu öğrenme yöntemlerinin sonuç veya ürün odaklı uygulamaları olarak yapay zeka açıklanmıştır. Akan veya katmanlı büyük veri analitiğinde web tabanlı çözüm ortamı olarak Google Colabratory ve bu ortamda kod geliştirmede Python uygulamaları verilmiştir.

Anahtar Kelimeler

Büyük veri analitiği, Yüksek performans hesaplama, Öğrenme yöntemleri

Kaynakça

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