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

DZone

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. There were languages I briefly read about, including other performance comparisons on the internet. C++ SOLUTION (Will Be Uploaded Later). Ahem, Slow!

Java 207
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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.

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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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HammerDB for Managers

HammerDB

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Oracle requires more complex ongoing administration, as all database configurations must evolve in conjunction with the data schemas and custom code. Comparison Overview. Objective C. Let’s take a look at core functionality of these two relational database management systems. SolarisUnix. Supported Languages. JavaScript.

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The Speed of Time

Brendan Gregg

The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere. Without NMI, some kernel code paths (interrupts disabled) can't be profiled. But I'm not completely sure.

Speed 126
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The Speed of Time

Brendan Gregg

The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere. Without NMI, some kernel code paths (interrupts disabled) can't be profiled. us on Centos and 0.68

Speed 52