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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS. a usage pattern occurring when 2 cores reading from / writing to unrelated variables that happen to share the same L1 cache line. Cache line is a concept similar to memory page?—? Thread 0’s cache in this example.

Hardware 363
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Single-core memory bandwidth: Latency, Bandwidth, and Concurrency

John McCalpin

Sustainable memory bandwidth using multi-threaded code has closely followed the peak DRAM bandwidth, typically delivering best case throughput of 75%-85% of the peak DRAM bandwidth in each generation. GB/s peak DRAM bandwidth, requiring 6 concurrent 64-byte cache line accesses to be pending at all times to maintain full bandwidth.

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AWS serverless services: Exploring your options

Dynatrace

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Using a low-code visual workflow approach, organizations can orchestrate key services, automate critical processes, and create new serverless applications.

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How to Optimize Digital Experience and Operations with Dynatrace

Dynatrace

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Missing caching layers, e.g. provide a read-only cache for static data. Well – there are many answers to this.

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Distance-Based ISA for Efficient Register Management

ACM Sigarch

To create a CPU core that can execute a large number of instructions in parallel, it is necessary to improve both the architecturewhich includes the overall CPU design and the instruction set architecture (ISA) designand the microarchitecture, which refers to the hardware design that optimizes instruction execution.

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Time to First Byte: What It Is and Why It Matters

CSS Wizardry

only to find that the resource they’re requesting isn’t in that PoP ’s cache. Application runtime: It’s kind of obvious really, but the time it takes to run your actual application code is going to be a large contributor to your TTFB. Routing: If you are using a CDN—and you should be!—a

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Six things that slow down your site's UX (and why you have no control over them)

Speed Curve

Photo by Freepik Part of the answer is this: You have a lot of control over the design and code for the pages on your site, plus a decent amount of control over the first and middle mile of the network your pages travel over. For a myriad of reasons, older hardware can't always accommodate faster speeds. but couldn't find anything.