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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. One, by researching on the Internet; Two, by developing small programs and benchmarking. The legacy languages — be it ASM or C still rule in terms of performance.

Java 207
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Detecting Scene Changes in Audiovisual Content

The Netflix TechBlog

In the second approach, we show that a relatively simple, supervised sequential model (bidirectional LSTM or GRU) that uses rich, pretrained shot-level embeddings can outperform the current state-of-the-art baselines on our internal benchmarks. Figure 1: a scene consists of a sequence of shots.

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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

Leveraging pgbench , which is a benchmarking utility that comes bundled with PostgreSQL, I will put the cluster through its paces by executing a series of DML operations. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 102
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Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

I believe that all optimizing C/C++ compilers know how to pull this trick and it is generally beneficial irrespective of the processor’s architecture. In concrete terms, here is the C code to compute the remainder of the division by some fixed divisor d : uint32_t d =. ; // your divisor > 0. count5 + = 1 ; }.

C++ 279
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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

In our previous posts in this series, we spoke at length about using PgBouncer and Pgpool-II , the connection pool architecture and pros and cons of leveraging one for your PostgreSQL deployment. All of the PostgreSQL benchmark tests were run under the following conditions: Initialized pgbench using a scale factor of 100.

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From Heavy Metal to Irrational Exuberance

ACM Sigarch

The focus of most published research in architecture is on applications implemented in high-performance, “ close-to-the-metal” languages essentially developed before computers got fast. These, let’s call them metal languages , include FORTRAN (introduced in 1957), C (1972), and C++ (1985). As Leiserson et al.

C++ 108
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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. in the TPC-H Benchmark Standard for details of the queries). VLDB’19. System initialisation time.