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

DZone

The legacy languages — be it ASM or C still rule in terms of performance. But these are definitely ruled out for enterprise applications due to the complexity in development, maintainability, need for object orientation, and interoperability. C++ SOLUTION (Will Be Uploaded Later). It is the number written on your coin.

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12 different types of mobile testing with real-life examples

Testsigma

Mobiles have different models, screen resolutions, operating systems, network types, hardware configurations, etc. Also, how to test the hardware of the mobile phone itself, is it supporting all the software as it should? Let us have a look at the most popular types of mobile testing for applications and hardware.

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Powering PostgreSQL 15 With Columnar Tables

Percona

The key goals of OLTP applications are availability, speed, concurrency, and recoverability. And if the query processes 100 million rows, that’s definitely not trivial! speeds up scans, . These applications are used concurrently by hundreds of users. consolidation (roll-up). drill-down. slicing and dicing. compresses data.

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HTTP/3: Performance Improvements (Part 2)

Smashing Magazine

A Primer on Speed. Discussing performance and “speed” can quickly get complex, because many underlying aspects contribute to a web-page loading “slowly”. It is physically limited by the speed of light or, practically, how fast signals can travel in wires or in the open air. Congestion Control. Did You Know?

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Establishing software root of trust unconditionally

The Morning Paper

In this context it means there are no external dependencies on e.g. secrets, trusted hardware modules, or special instructions (e.g. A system comprises c connected devices, where device i has random access memory and processor registers. Putting it all together. Implementation. The timing for k=64 and d=10M is 54,578ms.

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STELLA: report from the SNAFU-catchers workshop on coping with complexity

The Morning Paper

Take a trivial example with three components A, B, and C. Now you might say that the system is designed such that A only talks to B, and B only talks to C. But do A and C share the same storage, compute, or network resources for example? In a fast changing world, the effort needed to keep up to date can be daunting.

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Intel discloses “vector+SIMD” instructions for future processors

John McCalpin

So consider the dense matrix multiplication operation C += A*B, where A, B, and C are dense square matrices of order N, and the matrix multiplication operation is equivalent to the pseudo-code: for (i=0; i<N; i++) { for (j=0; j<N; j++) { for (k=0; k<N; k++) { C[i][j] += A[i][k] * B[k][j]; } } }.

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