Performance   226442

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Comparative Benchmark of Ampere eMAG, AMD EPYC, and Intel XEON for Cloud-Native Workloads | Kinvolk
The Arm CPU architecture has a rich history – starting with home computers in the 1980s (as Acorn RISC Machines), then establishing itself in the 1990s as the dominant architecture for embedded devices, a role that continues today and into the foreseeable future thanks to smartphones. Cloud infrastructure based on the Arm CPU architecture, often seen as exotic only a decade ago, has become more and more generally available in recent years.

As Arm server/instances offerings are becoming more and more ubiquitous in the public cloud, we at Kinvolk were keen to understand the drawbacks and benefits of those offerings for cloud-native applications. We assembled a set of system-level benchmark tests and added automation to execute those benchmarks aimed at gaining insight into the performance of fundamental platform features and functions. We then looked at one implementation in particular – the Ampere eMAG bare-metal servers offered by the Packet IaaS provider – to better understand how this platform compares to more traditional x86 architecture offerings powered by Intel and AMD CPUs. The tools we created are more general though – these benchmarks can easily be run on any Kubernetes cluster; even adding support for new architectures (MIPS, POWER, IA64, etc.) should be straightforward.

It should be noted that Kinvolk has ongoing cooperation with both Ampere Computing and Packet, and used all infrastructure used in our benchmarking free of charge. Ampere Computing furthermore sponsored the development of the control plane automation used to issue benchmark runs, and to collect resulting data points, and to produce charts.

We are releasing the automation for building container images (so the same benchmarks can be run on multiple architectures) as well as scripted automation to perform the below benchmarks to the Open Source community at: https://github.com/kinvolk/benchmark-containers
CPU  performance  benchmark  ARM  AMD  Intel 
3 hours ago by euler
Fit on a Floppy
1.44mb Floppy Disk capacity

Websites are getting bigger and bigger. The internet is getting faster and faster but not everywhere at the same pace. A floppy is a physical reminder of filesize.
webdesign  performance  webperf  via:beep 
7 hours ago by dirtystylus
12 Common Mistakes and Missed Optimization Opportunities in SQL | Haki Benita
Most programming languages are designed for professional developers with knowledge of algorithms and data structure. SQL is different. SQL is used by analysts, data scientists, product managers, designers and many others. These professionals have access to databases, but they don't always have the intuition and understanding to write efficient queries. In an effort to make my team write better SQL, I went over reports written by non-developers and code reviews, and gathered common mistakes and missed optimization opportunities in SQL.
database  postgresql  sql  tips  performance  analysis 
11 hours ago by danesparza
Front-End-Performance-Checklist
🎮 The only Front-End Performance Checklist that runs faster than the others - thedaviddias/
javascript  performance  frontend 
11 hours ago by tedw
Clang-format tanks performance
glibc define some macro to control whether inline toupper, which make include order mattered.

This just seems like clang-format makes program run slow
c++  performance 
21 hours ago by xxr3376

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