Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. The result is smarter, data-driven solutions designed to manage cloud spend. Additionally, include benchmarks for stakeholders and best practices that support the anticipated growth of the organization as a whole.

Cloud 192

Cloud Strategy Retail Energy 192

John McCalpin

APRIL 2, 2020

The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).

Benchmarking 59

Benchmarking Performance Latency Architecture 59

PDC

APRIL 14, 2019

It ranks the world’s 500 most powerful supercomputers based on their performance as measured by the Linpack benchmark. This is vividly reflected in the design on the Titan supercomputer , which is still among the world’s top 10 most powerful supercomputers (as of the November 2018 Top500 list). You may have heard of the Top500 list.

Energy 40

Energy Benchmarking Efficiency Website 40

Adrian Cockcroft

JUNE 21, 2022

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R.

Tuning 52

Tuning Benchmarking Engineering C++ 52

The Netflix TechBlog

MARCH 14, 2023

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. We build creator tooling to enable these colleagues to focus their time and energy on creativity. Unfortunately, much of their energy goes into labor-intensive pre-work. Artists and video editors must create them.

Media 291

Media Innovation Energy Architecture 291

Highly Scalable

MARCH 10, 2015

Although these problems are very different, we are trying to establish a common framework that helps to design optimization and data mining tasks required for solutions. The design of the model heavily depends on the problem. This model helps to design targeted usage expansion campaigns. Propensity to category expansion.

Retail 152

Retail C++ Analytics Metrics 152