## Performance ## Lets dive into Performance issues • Everything in JavaScript defaults to being on the same thread. Too much work on main thread • Android nested layouts • Functions and objects defined

## PERFORMANCE MATTERS Emery Berger College of Information and Computer Sciences UMASS AMHERST (joint work with Charlie Curtsinger, Grinnell College) emeryberger.com, @emeryberger ## A short time ### un.bmp ## Performance used to be easy  Performance improvement in the '80s ## I I ## Performance improvement in [Image](/uploads/documents/6/9/a/5/69a5a7f2064c85b44eb3710c323581ae/p19_1.jpg) loading... ## Performance not easy anymore 

## Performance of Apache Ozone on NVMe Wei-Chiu Chuang (jojochuang) Ritesh Shukla (kerneltime) ## Agenda • Overview of how Ozone and how it scales • Why NVME is important for Ozone for scaling • Benefits Benefits of using NVME • Impala performance results from NVME clusters • Write path improvements results from NVME clusters • Summary • Questions ## Ozone Architecture |Slow startup based on size|

## How GitOps Boosts Business Performance: The Facts  ## I NTRODUCTION As cloud-native applications have become more prevalent competitive advantage with an increase in innovation. This positive effect is not limited to the performance of engineering teams. Technology, in particular cloud native technology like Kubernetes and its together six years of data drawn from over 31,000 technology professionals worldwide. It charts the performance of engineering teams across the world against four key measures: lead time for new features, failure

## 20 24 September 15 - 20 ## +24 ## Performance Engineering Being Friendly to Your Hardware ## I GNAS BAGDONAS ## Being Friendly to Your Hardware Performance Engineering A gentle introduction to hardware ble> From JESD 79-4 DDR4 specification Same capacity, different composition => different performance profile ## Memory • Memory system is in the uncore • Cores act as clients • Remote socket cores • Multiple instructions resulting in fewer operations • ISA restrictions may have impact to performance ## Register renaming ![Image](/uploads/documents/5/f/0/b/5f0b3b420b58b2e5986f32263a8e4e3f/p52_1

Parallelism in High Performance Computing Victor Eijkhout CppCon 2024 ## I ntroduction This poster reports on ‘D2D’, a benchmark that explores elegance of expression and performance in the context of of a High Performance Computing ‘mini-application’. The same code has been implemented using a number of different approaches to parallelism. Implementations are discussed with performance results. ## Relevance arrays through 'mdspan', it is interesting to explore what C++ can offer for lower level performance critical operations. Scientific computing is an interesting test case since many algorithms are

## Using BCC and bpfrace with Performance Co-Pilot eBPF Summit ## M ♦ b ♦ Performance Co-Pilot system performance analysis toolkit BCC eBPF Compiler Collection  and other instrumented applications ## 6000 + ## Metrics Metrics have associated metadata: Semantics: instant, counter

## +24 ## High-Performance Numerical Integration in the Age of C++26 VINCENT REVERDY ## High-Performance Numerical Integration in the Age of C++26 Vincent Reverdy Laboratoire d'Annecy de Physique past, other languages do far better in terms of everything: functionality, ease of use, and even performance ## This talk The goal is NOT to revolutionize everything or show a library that beats everything k_{i}=f\left(t_{n}+c_{i}h,\ y_{n}+h\sum_{j=1}^{s}a_{i j}k_{j}\right),\quad i=1,\cdots,s $$ ## Performance concerns ☑ The Butcher Tableau can be very sparse ☑ Null coefficients should be optimized away

## +23 ## Writing Python Bindings for C++ Libraries: Easy-to-use Performance ## SAKSHAM SHARMA ## A QUICK BIO - YOURS TRULY - Director, Quant Research Tech at Tower Research Capital - High frequency volume in terabytes - Program analysis research and functional programming in a past life - Love performance, software abstractions, and clean APIs ## WHY PYTHON? WHY C++? Why Python? • Writing extensive We're at CppCon :) ## WHY C++ AND PYTHON • Why? Avoid reimplementing complex code for Python ☐ Performance ☐ Back and forth with user's python code ☐ Interoperability with data structures in Python