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Running the ML-Perf Storage benchmark on Nutanix files.

n0derunner

Some technical notes on our submission to the benchmark committee. Background For the past few months engineers from Nutanix have been participating in the MLPerftm Storage benchmark which is designed to measure the storage performance required for ML training workloads. appeared first on n0derunner.

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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. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207
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What is FinOps? How to keep cloud spend in check

Dynatrace

The result is smarter, data-driven solutions designed to manage cloud spend. Additionally, include benchmarks for stakeholders and best practices that support the anticipated growth of the organization as a whole. What is FinOps? This helps to prevent overprovisioning, underutilization of reserved instances, and hidden costs.

Cloud 195
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Lerner?—?using RL agents for test case scheduling

The Netflix TechBlog

The device ecosystem is rich with partners ranging from Silicon-on-Chip (SoC) manufacturers, Original Design Manufacturer (ODM) and Original Equipment Manufacturer (OEM) vendors. Solving the above problems could help Netflix and our Partners save time and money during the entire lifecycle of device design, build, test, and certification.

Testing 163
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5.5 mm in 1.25 nanoseconds

Randon ASCII

That meant I started having regular meetings with the hardware engineers who were working with IBM on the CPU which gave me even more expertise on this CPU, which was critical in helping me discover a design flaw in one of its instructions , and in helping game developers master this finicky beast. I wrote a lot of benchmarks.

Cache 126
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What Is a Workload in Cloud Computing

Scalegrid

High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. Storage is a critical aspect to consider when working with cloud workloads. Additionally.

Cloud 130
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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. In early January a related paper was published by Satoshi Matsuoka et. petaflops, which is 0.8%