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January 2021
January 29, 2021
IMPACT 2021 Proceedings
January 29, 2021
IMPACT2021 | Bringing AI Out of the Lab: Realizing Real-World Deployments of Deep Learning on Edge Devices, at Scale – Dr. Eli David
As far as research is concerned, deep learning works seamlessly in the lab today. However,
[…]
January 29, 2021
IMPACT2021 | Performance Engineering Maturity Model: The Four Stages of Performance Culture – Simone Gaiera, Michele Follo
As organizations shift towards agile and CI/CD approaches, performance engineering must change. Success cannot be
[…]
January 29, 2021
IMPACT2021 | Locating CICS Abnormal Reponse times – Mark Cohen Austrowiek
Most of z/OS sites run CICS to serve transactional applications. These CICS environments are often
[…]
January 29, 2021
IMPACT2021 | When your site fails it can be great for business! – Thomas Ballard
The site crash was and still is their best sales day, ever. The platform failing
[…]
January 29, 2021
IMPACT2021 | Improving Forecasting for Capacity Management Using Segmented Regression – John Greenwood, Charles Johnson, Jamie Baker
One problem with the use of linear regression for capacity planning forecasting is that step
[…]
January 29, 2021
IMPACT2021 | Python Performance And Other Non-Functional Testing Techniques – Steven Lott
We’ll look at the extremely popular Python language and a specific misconception — Python is
[…]
January 29, 2021
IMPACT2021 | z14 and z15 Pipelines – Luiz Carlos Orsoni
The z13 can execute about 12% more [1.695/1.514] Instructions than the zEC12, although its Cycle
[…]
January 29, 2021
IMPACT2021 | Practical Ways to Leverage AI in your IT Operations – Machhindra Nale
Join this session for a technical deep dive on practical ways to leverage AI in
[…]
January 29, 2021
IMPACT2021 | The Golden Era of AI and Machine Learning: The case for on-premise AI resources – Kyle Harper
We truly are experiencing AI’s golden era. The confluence of AI algorithms coming to reality,
[…]
January 29, 2021
IMPACT2021 | How Deep Learning Model Architecture Impacts Optimal Training Configuration in the Cloud – Eugene Protasenko
This session is part of a long research program aimed at scrutinizing how different components
[…]
January 29, 2021
IMPACT2021 | Capacity Analysis Techniques for VMware VM I/O – Debbie Sheetz
The methodology previously presented for VMware capacity/performance analysis is extended to I/O analysis (memory analysis,
[…]
January 29, 2021
IMPACT2021 | Sogei’s experience with IBM Db2 Analytics Accelerator – Chiara Baldan
Overview of Sogei’s main software application running on accelerator. Challenges and benefits. Migration to v7.
[…]
January 29, 2021
IMPACT2021 | Concurrent Users – An analytical approach to proper workload simulation – Xiaosong Lou
Concurrent User is one of the key performance metrics in a system. Many performance issues
[…]
January 29, 2021
IMPACT2021 | SMF & RMF; how to use it, make it effective, and what to do with it – Greg Caliri
Newer mainframe performance analysts and activity trackers may be unfamiliar with the ocean of knowledge
[…]
January 29, 2021
IMPACT2021 | Dell’s purpose-built Data Science Workstations: For AI Developers and Their Users – Kyle Harper
Join this session to get a deeper dive on solutions for the modern enterprise by
[…]
January 29, 2021
IMPACT2021 | Overcoming Automation Fear in Infrastructure as Code – Andre Agostinho
Following the same research line (IaC), this year I would like to address how to
[…]
January 29, 2021
IMPACT2021 | Cost-to-Serve: Computing Transaction Efficiency – Tuli Nivas
In a cloud operating environment, it is of utmost importance to understand performance, capacity and
[…]
January 29, 2021
IMPACT2021 | Turning the Lights on in Capacity Management – Daniel Ruehl
Capacity Management process maturity includes aligning capacity, performance, and cost. This process alignment are critical
[…]
January 29, 2021
IMPACT2021 | Anomalies Detection and Cloud Platform Selection During DevOps – Boris Zibitsker, Alex Lupersolsky, Pavel Pratasevich, Justin Bleuel
In this session, the presenters will review the challenges of anomaly detection during DevOps and
[…]
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