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Journal ArticleDOI

Performance innovations in the IBM z14 platform

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TLDR
The IBM z14 platform is discussed with a focus on the client value delivered through system performance and workload responsiveness, a comprehensive platform solution that enables efficient multiprocessor scaling for large single-image partitions and mixed-workload multipartition environments within a single platform.
Abstract
The IBM z14 platform brings together numerous innovations that collectively provide considerable performance gains over prior designs for the full spectrum of modern workloads being run on today's enterprise systems. These workloads range from traditional online transaction processing and batch workloads to Linux-based and cloud-based workloads, leveraging advances in analytics, mobile transaction processing, social data mining, cognitive applications, security (blockchain), and other areas. The performance gains in the z14 platform required advancements in the processor hardware microarchitecture, physical design, and instruction-set architecture, as well as in the firmware and hypervisor stacks. The result is a comprehensive platform solution that enables efficient multiprocessor scaling for large single-image partitions and mixed-workload multipartition environments within a single platform, while remaining responsive to the “bursty” demands of batch and transaction-based workloads. The performance gains present in the z14 are a direct result of the collaborative efforts between diverse teams within IBM working together to produce advancements in hardware, firmware, and software that outpace the gains of the individual contributions. In this paper, we discuss these results with a focus on the client value delivered through system performance and workload responsiveness.

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A Survey on Prediction of Suicidal Ideation Using Machine and Ensemble Learning

TL;DR: The objective of this proposal is to use social media as a tool that can aid in preventing suicide by identifying the individuals having suicidal ideation beforehand and to evaluate the proposed work with some ensemble approaches like Random Forest, AdaBoost, Voting Ensemble.
Journal ArticleDOI

History of IBM Z Mainframe Processors

Christian Jacobi, +1 more
- 01 Nov 2020 - 
TL;DR: How the focus shifted over time from speeds and feeds to new features, functions, and accelerators is described, and some examples on improved availability, enhanced security and cryptography, and embedded data compression acceleration are presented.
Proceedings ArticleDOI

AI accelerator on IBM Telum processor: industrial product

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