HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Morning Paper

SEPTEMBER 27, 2020

Furthermore, as hardware and compiler optimisations rapidly evolve, it is challenging even for a knowledgeable developer to keep up. The authors develop a tool called FPSpy which they use to monitor the floating point operations of existing scientific applications. PARSEC is a set of benchmarks for multi-threaded programs.

Benchmarking 101

Benchmarking Hardware Programming Code 101

The Morning Paper

JUNE 27, 2019

Machine learning systems are stuck in a rut Barham & Isard, HotOS’19. In this paper we argue that systems for numerical computing are stuck in a local basin of performance and programmability. Take a simple example: it would be really nice if we could have named dimensions instead of always having to work with indices.

Systems 87

Systems Tuning Programming Innovation 87

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. I suggest it’s long past time to move beyond C and SPEC benchmarks and our exclusive focus on “metal” languages.

C++ 108

C++ Benchmarking Hardware Architecture 108

Alex Russell

MARCH 9, 2024

Learning to tell the difference is helpful for browser project managers and engineers, but also working web developers who struggle to develop theories of change for affecting browser teams. This developer-enabling flywheel aims to liberate computing from any single OS, supporting an ephemeral services model of computing.

Benchmarking 59

Benchmarking Strategy Internet Internet 59

Brendan Gregg

MARCH 16, 2024

The problem is that this system has a default libc that has been compiled without frame pointers, so any stack walking stops at the libc layer, producing a partial stack that's missing the application frames. This is pretty common and usually goes unnoticed as the flame graph looks ok at first glance.

Java 145

Java Cache Google Hardware 145

All Things Distributed

NOVEMBER 21, 2018

People often ask me if developing for the cloud is any different from developing on-premises software. Verifying benchmark claims. The biggest difference between developing for the cloud and developing on-premises software is that in the cloud, you have much better access to how your customers are using your services.

Cloud 135

Cloud Benchmarking Performance AWS 135

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Some disruption might occur, but it will be minimal. More in the following sub-section.)

Availability 105

Availability Database Open Source Hardware 105

The Morning Paper

NOVEMBER 3, 2019

For the rest of us, if you really need that extra performance (maybe what you get out-of-the-box or with minimal tuning is good enough for your use case) then you can upgrade hardware and/or pay for a commercial license of a tuned distributed (RHEL). A second takeaway is this: security has a cost! Measuring the kernel. Headline results.

Performance 108

Performance Benchmarking Tuning Hardware 108

Scalegrid

JULY 13, 2020

Oracle Database is a commercial, proprietary multi-model database management system produced by Oracle Corporation, and the largest relational database management system (RDBMS) in the world. Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Compare Costs.

Open Source 244

Open Source Tuning C++ Database 244

Percona

MAY 1, 2023

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

Alex Russell

APRIL 29, 2021

Apple forces developers of competing browsers to use their engine for all browsers on iOS , restricting their ability to deliver a better version of the web platform. They are, pound for pound, some of the best engine developers globally and genuinely want good things for the web. With each team, benchmarks lost are understood as bugs.

Media 145

Media Games Education Engineering 145

Adrian Cockcroft

JUNE 21, 2022

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else.

Tuning 52

Tuning Benchmarking Engineering C++ 52

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy.

AWS 52

AWS Database Serverless Storage 52

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 46

Benchmarking Database Operating System Architecture 46

Alex Russell

MARCH 6, 2021

Meanwhile, developer behaviour offers little hope: Median mobile JavaScript payloads have only grown since 2016, now hovering above 400KiB of script transferred, or nearly 2.5MiB of uncompressed JS. Hardware Past As Performance Prologue. Compared to devices wealthy developers carry, the performance is night and (blinding) day.

Performance 124

Performance Network Cache Metrics 124

Abhishek Tiwari

DECEMBER 27, 2017

faster development and deployment cycles. The good news is all of these challenges including performance can be tackled and in several cases, there are new developments to overcome them. To address this, the open source community is now trying to develop Kubernetes custom schedulers specifically optimised for big data workloads.

Big Data 63

Big Data Storage Benchmarking Hardware 63

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

Alex Russell

OCTOBER 22, 2017

One of the most surprising results has been the frequent occurrence of “ambush by JavaScript” : We need a new term for the business-opportunity wastage that modern front-end development has created. Budgets are scaled to a benchmark network & device. Deciding what benchmark to use for a performance budget is crucial.

Performance 68

Performance Benchmarking Network Mobile 68

Abhishek Tiwari

DECEMBER 13, 2017

This has far-reaching implications how future data systems and algorithms will be designed. More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. Learned indexes. In their paper titled as The Case for Learned Index Structures Kraska et al.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

ACM Sigarch

OCTOBER 25, 2018

Quantum Computing, for instance, relies on Josephson junctions to not only implement the quantum bits or qubits, but also to implement the control systems for managing the qubits. The first OOO machine was developed in the mid 1960s but OOO designs did not dominate architecture for another 30 years due to its inherent complexity.

Architecture 67

Architecture Technology Technology Innovation 67

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. Important When planning, deploying, and maintaining a Microsoft SQL Server installation, ensure that the I/O system supports all the factors outlined in this article. The modifications persist even in the event of a system failure.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. It's clear that developers are out of touch with market ground-truth , but it's not obvious why. This was not a fast box. What does this mean for our target devices?

Performance 90

Performance Network Mobile Speed 90

John McCalpin

JANUARY 22, 2018

The double-precision matrix multiplication routine “DGEMM” is typically the computational kernel that achieves the highest fraction of peak performance on high performance computing systems. Timers and hardware performance counters are measured immediately outside the loop, where their overhead is negligible.

Latency 40

Latency Hardware Code Testing 40

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Java used to power core file system code. What is the name of your system and where can we find out more about it?

Architecture 52

Architecture Cache Azure Storage 52

SQL Server According to Bob

JANUARY 11, 2020

​​ Without limiting the rights under copyright, no part of this document may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 6, 2020

In many organizations, front-end developers know exactly what common underlying problems are and what loading patterns should be used to fix them. So every time a conversation about further development happens, performance is a part of that conversation as well. Establish a performance culture. thanks, Guy Podjarny! Large preview ).

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

In many organizations, front-end developers know exactly what common underlying problems are and what strategies should be used to fix them. So every time a conversation about further development happens, performance is a part of that conversation as well. Establish a performance culture. Large preview ). Large preview ).

Performance 145

Performance Cache Media Metrics 145