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Data Center News > Blog > Global Market > Intel Launches Continuous Profiler for Enhanced CPU Performance
Global Market

Intel Launches Continuous Profiler for Enhanced CPU Performance

Last updated: March 12, 2024 2:27 pm
Published March 12, 2024
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With the discharge of its Steady Profiler to the general public, Intel is demonstrating its open ecosystem technique to spur innovation and improve developer productiveness. Companies like ironSource, ShareChat, and Snap would recurrently make use of the optimization agent to seek out manufacturing bottlenecks and optimization prospects.

Steady Profiler is an open-source device created by Intel Granulate that integrates a number of profilers right into a single flame graph show. This unified view would offer an autonomous and steady methodology for figuring out runtime inefficiencies for builders, efficiency engineers, and DevOps.

“Steady Profiler has been on the coronary heart of what we’ve been doing at Intel Granulate,” mentioned Asaf Ezra, Basic Supervisor at Intel Granulate. “By serving to builders establish bottlenecks within the code, companies can optimize their functions extra simply and successfully.”

Visualized View

In each testing or manufacturing setting, one of many typical duties for efficiency evaluation is determining why central processing items (CPUs) are busy. The most popular code paths are proven in a flame graph by Steady Profiler.

“This visualized view makes it instantly apparent the place CPU is consumed so yow will discover price financial savings, eradicate bottlenecks, enhance throughput, and scale back latency and efficiency regressions,” mentioned Brendan Gregg, Intel Fellow. “In at this time’s complicated setting, nevertheless, flame graphs can unearth so many efficiency wins that it turns into laborious to use all of them. Intel Granulate automates this job, permitting corporations to appreciate these efficiency wins now and sooner or later as Intel develops extra optimizations.”

See also  Extreme taps Intel analytics to boost its AI Expert assistant

– story continues under the graphic –

Continuous Profiler, created by Intel Granulate and released into the open source community, integrates many profilers into a single flame graph display.
Steady Profiler, created by Intel Granulate and launched into the open supply group, integrates many profilers right into a single flame graph show.

Open Supply Ecosystem

The way it works? A single, cohesive illustration of the duties {that a} CPU is doing is generated by the Steady Profiler, a improvement of gProfiler that integrates many pattern profilers. Flame graphs which can be easy to traverse establish efficiency regressions, together with deadlocks and trash assortment, to facilitate deployments.

Steady Profiler could be one of many few instruments that lets DevOps filter companies by hostname, container identify, or Kubernetes deployment object. All it takes is selecting the decision stage on the web page. With out the necessity to launch a profiler for each merchandise, these built-in Kubernetes filters profile down from the deployment to pod stage. Groups are in a position to study how varied deployments, pods, nodes, and hosts behave in varied areas and code due to this.

Inside minutes, the profiler could be deployed cluster-wide and assist a wide range of programming languages with no need code modifications. Additionally it is suitable with Intel Granulate‘s steady optimization companies. The Fixed Profiler has a SOC2 certification.

Steady Profiler’s simple consumer interface (UI) and seamless integration would allow it to establish runtime bottlenecks, optimize utility efficiency for higher consumer experiences, and make changes to fulfill particular developer necessities. Intel says it’s going to proceed to enhance the device and help builders in creating functions that will be extra strong, faster, and extra inexpensive in collaboration with open supply contributors and the bigger ecosystem.

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Visualized ViewOpen Supply Ecosystem
TAGGED: continuous, CPU, enhanced, Intel, launches, performance, Profiler
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