IBM z14: Processor Characterization and Power Management for High-Reliability Mainframe Systems

Berry, Christopher J.; Wolpert, David; Vezrytzis, Christos; Rizzolo, Richard; Carey, Seán; Maroz, Yaniv; Shi, Hunter; Chidambarrao, D.; Jacobi, Christian; Saporito, Anthony; Strach, Thomas; Buyuktosunoglu, Alper; Lobo, Preetham; Chuang, Pierce; Owczarczyk, Pawel; Bertran, Ramon; Webel, Tobias; Restle, P.J.

doi:10.1109/jssc.2018.2873582

Cited by 13 publications

(2 citation statements)

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“…This paper introduces the designs of an agricultural UAV measurement and control cloud platform built on IBM mainframe [2]. The system aim to enhance the UAV management system of UAV Companies, making UAV information management and UAV dispatch more convenient, fast, reasonable and humanized, and at the same time prioritizing safety [3]; assisting UAV companies to improve their business level through agricultural big data, cloud platform computing and Beidou navigation satellite system. Furthermore, the system assisting government agriculture sector and agricultural scientific research institutions to carry out agricultural planning, economic analysis and future agricultural development plans through agricultural big data and cloud platform computing, so as to contribute to the modernization development of domestic agriculture.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Measurement and Control Cloud Platform for Agricultural UAV: Case Design of Cloud Computing Course

Tang,

Zhang,

Yang

et al. 2024

Advances in Transdisciplinary Engineering

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This paper presents the design of a cloud platform for the measurement and control of agricultural UAV. The plateform aims to streamline the management and deployment of UAV by enterprises, help agricultural scientific research institutions in conducting scientific research work, data collection and analysis, and provide basic agricultural data support for the government to making agriculture-related decisions. Based on the characteristics of high reliability, high security and high expansibility of linux on Z, this system adopts openstack, z/VM, hadoop, tomcat server, J2EE and other technologies to build a fast, stable and reliable cloud platform. Beidou navigation system was used to locate the UAV in real time. This system has the characteristics of convenience, fast, real-time and high efficiency, and provides students with a comprehensive application of cloud technology experiment case.

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Section: Introductionmentioning

confidence: 99%

Implementation of Measurement and Control Cloud Platform for Agricultural UAV: Case Design of Cloud Computing Course

Tang,

Zhang,

Yang

et al. 2024

Advances in Transdisciplinary Engineering

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“…IBM z15 [9,72,101] and prior system generations [10,11,17,28,50,51,80,95,96] implemented shared physical L3 caches on the processor chip, and had a separate chip that implemented a large L4 cache. The Telum design implements all of that logic in a single chip, and opts to quadruple the L2 cache to 32 MB with very low latency.…”

Section: Introductionmentioning

confidence: 99%

AI accelerator on IBM Telum processor

Lichtenau

Buyuktosunoglu²,

Bertran³

et al. 2022

Proceedings of the 49th Annual International Symposium on Computer Architecture

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IBM Telum is the next generation processor chip for IBM Z and LinuxONE systems. The Telum design is focused on enterprise class workloads and it achieves over 40% per socket performance growth compared to IBM z15. The IBM Telum is the first server-class chip with a dedicated on-chip AI accelerator that enables clients to gain real time insights from their data as it is getting processed.Seamlessly infusing AI in all enterprise workloads is highly desirable to get real business insight on every transaction as well as to improve IT operation, security, and data privacy. While it would undeniably provide significant additional value, its application in practice is often accompanied by hurdles from low throughput if run on-platform to security concerns and inconsistent latency if run off-platform. The IBM Telum chip introduces an on-chip AI accelerator that provides consistent low latency and high throughput (over 200 TFLOPS in 32 chip system) inference capacity usable by all threads. The accelerator is memory coherent and directly connected to the fabric like any other general-purpose core to support low latency inference while meeting the system's transaction rate. A scalable architecture providing transparent access to AI accelerator functions via a non-privileged general-purpose core * This paper is part of the Industry Track of ISCA 2022's program.

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Implementation of Application Asset Analysis and Management Tool Based on Zowe

Fan

2021

Lecture Notes on Data Engineering and Communications Technologies

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IBM z14: Processor Characterization and Power Management for High-Reliability Mainframe Systems

Cited by 13 publications

References 14 publications

Implementation of Measurement and Control Cloud Platform for Agricultural UAV: Case Design of Cloud Computing Course

Implementation of Measurement and Control Cloud Platform for Agricultural UAV: Case Design of Cloud Computing Course

AI accelerator on IBM Telum processor

Implementation of Application Asset Analysis and Management Tool Based on Zowe

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