Architecture, Benchmarking and Hardware - Technology Performance Pulse

SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

FEBRUARY 27, 2021

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. One, by researching on the Internet; Two, by developing small programs and benchmarking. The legacy languages — be it ASM or C still rule in terms of performance.

Java

Java C++ Benchmarking Programming

How To Scale a Single-Host PostgreSQL Database With Citus

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database

Database Benchmarking Latency C++

Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

FEBRUARY 8, 2019

The division by a power of two ( / (2 N )) can be implemented as a right shift if we are working with unsigned integers, which compiles to single instruction: that is possible because the underlying hardware uses a base 2. uint64_t c = UINT64_C ( 0xFFFFFFFFFFFFFFFF ) / d + 1 ; // fastmod computes (n mod d) given precomputed c.

C++

C++ Benchmarking Hardware Testing

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

Open Source

Open Source Hardware Benchmarking Systems

From Heavy Metal to Irrational Exuberance

ACM Sigarch

OCTOBER 12, 2020

The focus of most published research in architecture is on applications implemented in high-performance, “ close-to-the-metal” languages essentially developed before computers got fast. These, let’s call them metal languages , include FORTRAN (introduced in 1957), C (1972), and C++ (1985). As Leiserson et al.

C++

C++ Benchmarking Hardware Architecture

CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment

The Morning Paper

MAY 27, 2019

CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment Davis et al., Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). ASPLOS’19. We answer this question affirmatively.

C++

C++ Hardware Virtualization Benchmarking

The top 5 reasons to run your own database benchmarks

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking

Benchmarking Database Social Media Scalability

What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc. that a lot of people used.

Tuning

Tuning Benchmarking Engineering C++

Is It a Read Intensive or a Write Intensive Workload?

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. Let’s examine the TPC-C Benchmark from this point of view, or more specifically its implementation in Sysbench.

Benchmarking

Benchmarking Database Operating System Architecture

HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

OCTOBER 12, 2018

This post complements the previous best practice guides this time with the focus on MySQL and MariaDB and achieving top levels of performance with the HammerDB MySQL TPC-C test. As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. order by c.

Best Practices

Best Practices Scalability Performance C++

A peculiar throughput limitation on Intel’s Xeon Phi x200 (Knights Landing)

John McCalpin

JANUARY 22, 2018

Hardware performance counter results for a simple benchmark code calling Intel’s optimized DGEMM implementation for this processor (from the Intel MKL library) show that about 20% of the dynamic instruction count consists of instructions that are not packed SIMD operations (i.e., addl $1, %eax vfmadd213pd %zmm16, %zmm17, %zmm29.

Latency

Latency Hardware Code Testing

Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

Smashing Magazine

JANUARY 6, 2020

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. On a middle-class mobile device, that accounts for 15–25 seconds for Time-To-Interactive.

Performance

Performance Cache Network Metrics

Front-End Performance Checklist 2021

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. compared to early 2015.

Performance

Performance Cache Media Metrics

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Google cloud.

Architecture

Architecture Cache Azure Storage

Technology Performance Pulse