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! Or even on a plane.

Performance 110

Performance Latency Cache Virtualization 110

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

John McCalpin

APRIL 2, 2020

This was a keynote presentation at the “2nd International Workshop on Performance Modeling: Methods and Applications” (PMMA16), June 23, 2016, Frankfurt, Germany (in conjunction with ISC16 ). Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). This is where service workers can make a difference.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). This is where service workers can make a difference.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). This is where service workers can make a difference.

Energy 40

Energy Cache Traffic Website 40

SQL Performance

SEPTEMBER 17, 2019

SSRS 2008 brought that component into the reporting service module. Disk latency for ReportServer and ReportServerTempDB are very important. Caches of report results are stored in the ReportServerTempDB database and I/O performance can become an issue here. Reporting Services Infrastructure. General Tuning. Conclusion.

Tuning 67

Tuning Servers Database Best Practices 67