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Introduction to Benchmarking in Julia

DZone

For the number of years I’ve been programming using Julia, I’ve never really been concerned with performance. Which is to say, I’ve appreciated that other people are interested in performance and have proven that Julia can be as fast as any other performance language out there.

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Optimizing String Comparisons in Go

DZone

Want your Go programs to run faster? In a previous article, we looked at How to compare strings in Go and did some benchmarking. Optimizing string comparisons in Go can improve your application’s response time and help scalability. We’re going to expand on that here.

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Efficient Heterogeneous Parallel Programming Using OpenMP

DZone

In OpenMP® programs that take advantage of heterogenous parallelism, the master clause can be used to exploit simultaneous CPU and GPU execution. pomriq MRI reconstruction benchmark is written in C and parallelized using OpenMP. However, using the CPU and GPU resources simultaneously can improve the performance of an application.

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

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. Recently, I spent some time checking on the Performance (not a very detailed study) of the various programming languages.

Java 214
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Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

MySQL DigitalOcean Performance Benchmark. In this benchmark, we compare equivalent plan sizes between ScaleGrid MySQL on DigitalOcean and DigitalOcean Managed Databases for MySQL. We are going to use a common, popular plan size using the below configurations for this performance benchmark: Comparison Overview. DigitalOcean.

Database 217
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Performance and Benchmark Comparison When comparing RabbitMQ and Kafka, performance factors such as throughput, latency, and scalability play a critical role. Both systems continue to expand their client libraries , making them more accessible across different programming environments.

Latency 147
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Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

We also published our benchmarks for research purposes. The paper contains carefully crafted benchmarks, but I came up with a fun one for this blog post which I call “fizzbuzz” Let us go through all integers in sequence and count how many are divisible by 3 and how many are divisible by 5. It tells a nice story.

C++ 279