agilob

joined 2 years ago

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1

Measure Your Maven Build · Maarten on IT (maarten.mulders.it)

submitted 2 years ago by agilob@programming.dev to c/performance@programming.dev

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1

Efficient containers with Spring Boot 3, Java 21 and CDS by Sébastien Deleuze @ Spring I/O 2024 (www.youtube.com)

submitted 2 years ago by agilob@programming.dev to c/java@programming.dev

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2

AI-Powered Flamegraph Interpreter in Grafana Pyroscope | Open Source Continuous Profiling Platform (pyroscope.io)

submitted 2 years ago by agilob@programming.dev to c/performance@programming.dev

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1

Welcome to the Leyden Prototype Repo! (github.com)

submitted 2 years ago by agilob@programming.dev to c/java@programming.dev

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Cyber Security: A Pre-War Reality Check - Bert Hubert's writings (berthub.eu)

submitted 2 years ago by agilob@programming.dev to c/security@programming.dev

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1

Using perf to profile Java applications (bell-sw.com)

submitted 2 years ago by agilob@programming.dev to c/performance@programming.dev

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2

JIT vs AOT compilation (bell-sw.com)

submitted 2 years ago by agilob@programming.dev to c/java@programming.dev

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1

What would happen to low latency trading if exchanges moved to the cloud? (blog.abctaylor.com)

submitted 2 years ago by agilob@programming.dev to c/performance@programming.dev

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ULL trading firms go to a lot of trouble to get their servers and switches within the same buildings as the exchanges they trade with to reduce latency. Some firms don’t even use layer 1 switches to be competitive.

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No Restarts, No Disruptions: Seamless Pod Resource updates with In-Place Resizing (engineering.doit.com)

submitted 2 years ago by agilob@programming.dev to c/kubernetes@programming.dev

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1

No Restarts, No Disruptions: Seamless Pod Resource updates with In-Place Resizing (engineering.doit.com)

submitted 2 years ago by agilob@programming.dev to c/performance@programming.dev

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1

Predictive CPU isolation of containers at Netflix (netflixtechblog.com)

submitted 2 years ago by agilob@programming.dev to c/performance@programming.dev

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1

LLaMA Now Goes Faster on CPUs (justine.lol)

submitted 2 years ago by agilob@programming.dev to c/performance@programming.dev

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My kernels go 2x faster than MKL for matrices that fit in L2 cache, which makes them a work in progress, since the speedup works best for prompts having fewer than 1,000 tokens.