The Morning Paper

MAY 23, 2019

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Today’s paper introduces Zippads , which compared to a state of the art compressed memory hierarchy is able to achieve a 1.63x higher compression ratio and improve performance by 17%. ” The big idea. Implications.

Cache 61

Cache Benchmarking Hardware Java 61

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Jason Lowe-Power (UC Davis) discussed smart memory management and the need for an efficient interface for it.

Latency 52

Latency Hardware Cache Architecture 52

The Morning Paper

DECEMBER 1, 2019

Efficient lock-free durable sets Zuriel et al., Memory might be durable, but… …it is expected that caches and registers will remain volatile. EBR is not lock-free, but offers good performance and provides progress for memory management when threads are not stuck. Performance evaluation. OOPSLA’19.

Efficiency 60

Efficiency Cache C++ Performance 60

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person!

Performance 52

Performance Latency Cache Virtualization 52

The Morning Paper

MARCH 8, 2020

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) The caching use case may be the most familiar, but in fact it’s not the primary purpose of the ephemeral storage service. of the persistent data on average.

Storage 112

Storage Engineering Cache Serverless 112

The Morning Paper

NOVEMBER 5, 2019

Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. Readers of this blog properly have a pretty good idea what ‘efficient transactions’ and ‘fast metadata operations’ are all about.

Storage 64

Storage Systems Hardware Efficiency 64

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Smashing Magazine

JANUARY 15, 2019

How Improving Website Performance Can Help Save The Planet. How Improving Website Performance Can Help Save The Planet. Perhaps the biggest win when it comes to making websites more sustainable is that performance, user experience and sustainability are all neatly intertwined. Jack Lenox. 2019-01-15T13:30:32+01:00.

Website Performance 73

Website Performance Website Energy Performance 73

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Abhishek Tiwari

DECEMBER 13, 2017

Apart from indexes, super efficient sorting and join operations are some major areas come to my mind with immediate benefits of using learned data structure. 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.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

DZone

AUGUST 16, 2019

If we are not prepared for this, the application performance will start degrading, and you will lose your audience and business. Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM). What Is Application Scalability?

Scalability 145

Scalability Efficiency Hardware Software 145

Dynatrace

AUGUST 30, 2019

Digital Performance: 99% reduction in Response Time, from 18.2s Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Dynatrace Real User Monitoring (RUM) captures very detailed user behavior, as well as experience and performance information, about every user on your applications.

Cache 198

Cache Architecture Database Government 198

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation. This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

Highly Scalable

AUGUST 20, 2013

High performance and mobility. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size. The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. Divide and broadcast join. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

Percona

AUGUST 8, 2023

Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. Unfortunately, this topic is more of an art than a science, given that there is really no foolproof algorithm or approach that can tell you exactly where you might hit a bottleneck with server performance.

Traffic 92

Traffic Cache Monitoring Database 92

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Serverless architecture offers several benefits for enterprises. Simplicity. The first benefit is simplicity. AWS serverless offerings. Data Store.

Serverless 280

Serverless AWS Lambda Storage 280

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. Cached vs Scaled Workloads. What is HammerDB?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Randon ASCII

SEPTEMBER 30, 2022

A twenty-second delay for recording a forty-second clip is a pretty bad efficiency ratio. RuntimeBroker was CPU bound and was spending most of its time in a single thread that was busy performing queries on the results of a crawl over some directory: The next step was to look at the File I/O graph to see what directory was being scanned.

Software 130

Software Software Cache Hardware 130

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. To be clear, these languages were not designed to be fast or space-efficient, but for ease of use. As Leiserson et al.

C++ 108

C++ Benchmarking Hardware Architecture 108

Alex Russell

APRIL 29, 2021

Classics of the genre include: Apple's just focused on performance! The Performance Argument. As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. Web Performance APIs.

Media 145

Media Games Education Engineering 145

Sutter's Mill

FEBRUARY 13, 2017

Tue-Thu Apr 25-27: High-Performance and Low-Latency C++ (Stockholm). On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.” Description.

Latency 51

Latency C++ Hardware Performance 51

The Morning Paper

JUNE 25, 2019

Therefore, if we want to make full use of one-sided far memory, we need to think carefully about the design of our data structures to make that access efficient. This paper is all about the design of efficient data structures for far-memory, which turns out to have consequences reaching all the way down to the hardware.

Design 80

Design Cache Hardware Scalability 80

John McCalpin

AUGUST 1, 2018

Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? If I am analyzing (apparent) performance shortfalls, how can I distinguish between cause and effect ? The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

Smashing Magazine

AUGUST 22, 2021

HTTP/3: Performance Improvements (Part 2). HTTP/3: Performance Improvements (Part 2). In this second part, we will zoom in on the performance improvements that QUIC and HTTP/3 bring to the table for web-page loading. HTTP/3 performance features ( current article ). Robin Marx. 2021-08-23T06:20:00+00:00.

Performance 105

Performance Network Latency Servers 105

ACM Sigarch

JULY 17, 2023

An example of a specification is the correct operation of the hardware of a microprocessor. An SDC is the worst possible outcome of a fault, as it can have an arbitrary impact on the correctness of software running on the hardware. Background A fault is a condition that causes the inability to meet a specification. core lock-stepping).

Energy 52

Energy Hardware Best Practices Architecture 52

Smashing Magazine

AUGUST 15, 2021

Cache Merril. Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. How To Develop Your Business’ Technology Roadmap. 2021-08-16T06:55:00+00:00.

Technology 139

Technology Technology Development Strategy 139

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. How does high availability work? Redundancy is also critical for disaster recovery.

Availability 113

Availability Database Open Source Hardware 113

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. Atomicity A transaction must be an atomic unit of work; either all of its data modifications are performed or none of them are performed. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

Highly Scalable

APRIL 2, 2012

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. So, the only way was to cache all necessary data to minimize interaction with RDBMS.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

The Morning Paper

MARCH 17, 2020

most recently ‘ Efficient lock-free durable sets ‘). Based on these findings, the authors present four guidelines to get the best performance out of this memory today. The data we have collected demonstrate that many of the assumptions that researchers have made about how NVDIMMs would behave and perform are incorrect.

Scalability 59

Scalability Latency Cache Media 59

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach.

Database 167

Database Lambda AWS IoT 167

Alex Russell

OCTOBER 22, 2017

TL;DR: performance budgets are an essential but under-appreciated part of product success and team health. Nobody is trying to do a poor job, and yet the results of a “completed” PWA project often require weeks or months of painstaking rework to deliver minimally acceptable performance. Partner meetings are illuminating.

Performance 68

Performance Benchmarking Network Mobile 68

The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? On one of the themes that captures my imagination, how changing hardware platform influence system design: Rethinking database high availability with RDMA networks. The authors claim a two orders-of-magnitude performance improvement. Do we want that?

Blockchain 46

Blockchain Hardware Google Analytics 46

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. For bare metals, any algorithm among deadline or noop (the performance difference between them is imperceptible) will be better than CFQ.

Best Practices 52

Best Practices Design Tuning Database 52

Abhishek Tiwari

DECEMBER 27, 2017

It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times.

Servers 40

Servers Cache Database Media 40