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The Return of the Frame Pointers

Brendan Gregg

2005-2023: The winter of broken profilers However, the change was then applied to x86-64 (64-bit) as well, which had sixteen registers and didn't benefit so much from a seventeenth. It shouldn't be 10%, unless it's cache effects. And for leaf routines (which never establish a frame), this is a non-issue.

Java 137
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No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

I have regenerated all pages since 2005, the pages before that can be found in the "/historical" section. My templates and blog posts are now located in DropBox and thus locally cached at each machine I use.

Servers 112
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Back-to-Basics Weekend Reading - A Decomposition Storage Model

All Things Distributed

Not everybody agreed that the "N-ary Storage Model" (NSM) was the best approach for all workloads but it stayed dominant until hardware constraints, especially on caches, forced the community to revisit some of the alternatives. The first practical modern implementation is probably C-Store by Stonebraker, et al.

Storage 72
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Simple Parameterization and Trivial Plans — Part 2

SQL Performance

Simple parameterization has a number of quirks in this area, which can result in more parameterized plans being cached than expected, or finding different results compared with the unparameterized version. Reputation = 252552 ; These statements result in six cached plans, three Adhoc and three Prepared : Different guessed types.

Cache 90
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How Parallel Plans Start Up – Part 1

SQL Performance

The fundamentals of row mode parallel execution haven’t changed since SQL Server 2005, so the following discussion is broadly applicable. Running a parallel plan on a single thread can also happen when a cached parallel plan is reused by a session that is limited to DOP 1 by an environmental setting (e.g. MonthlyPosts AS. (

Cache 98
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. Emerging in the early 2000s, the first such platforms provided distributed caching on clustered servers with straightforward APIs for storing and retrieving in-memory objects.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. Emerging in the early 2000s, the first such platforms provided distributed caching on clustered servers with straightforward APIs for storing and retrieving in-memory objects.