Remove 2007 Remove Cache Remove Latency Remove Systems
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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).

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InnoDB Performance Optimization Basics

Percona

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. have been released since then with some major changes.

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How To Measure the Working Set Size on Linux

Brendan Gregg

Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). In this case, 28 Mbytes is a little larger than the LLC for this CPU, so may not cache so well (in a single LLC, anyway, and based on this single measurement). Why did I use a 100 ms interval? 16.570 403.66

Cache 71
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How To Measure the Working Set Size on Linux

Brendan Gregg

Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). In this case, 28 Mbytes is a little larger than the LLC for this CPU, so may not cache so well (in a single LLC, anyway, and based on this single measurement). Why did I use a 100 ms interval? 16.570 403.66

Cache 40
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Progress Delayed Is Progress Denied

Alex Russell

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Consistent improvement is the name of the game, and it can still have positive impacts, particularly as users lean on the system more heavily over time. PWA Install Prompts. Offscreen Canvas.

Media 145
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

With these requirements in mind, and a willingness to question the status quo, a small group of distributed systems experts came together and designed a horizontally scalable distributed database that would scale out for both reads and writes to meet the long-term needs of our business. This was the genesis of the Amazon Dynamo database.

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