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How To Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips To Get Started

DZone

As software engineers, we are always striving for high performance and efficiency in our code. Whether it’s optimizing algorithms or fine-tuning data structures, every decision we make can have a significant impact on the overall performance of our applications.

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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

Workload C: Read only. The latency table is following for test C and since it was read only test hence there is no update latency figure here. Here Redis and Yugabyte have higher latencies, Yugabyte performs bad for both Insert and Read for the test. Yugabyte performs really good in this test. This workload is 100% read.

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. Recently, I spent some time checking on the Performance (not a very detailed study) of the various programming languages. Ahem, Slow!

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. performance advantage.

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Detecting Scene Changes in Audiovisual Content

The Netflix TechBlog

At Netflix, such workflows are performed hundreds of times a day by many teams around the world, so investing in algorithmically-assisted tooling around content understanding can reap outsized rewards. A primary driver of variation in performance is late vs. early fusion. Figure 1: a scene consists of a sequence of shots.

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How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks . bin/createdb pgbench./bin/pgbench