async-profiler
.NET Runtime
async-profiler | .NET Runtime | |
---|---|---|
8 | 608 | |
5,883 | 14,139 | |
- | 1.6% | |
8.4 | 10.0 | |
about 1 year ago | 5 days ago | |
C++ | C# | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
async-profiler
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Migrating a Spring Boot application to Quarkus
Using the Async Profiler we were able to build flamegraphs for the first and second queries to picture the differences in path length of the two transactions execution.
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Making Code Faster
> The other two languages I’ve used mostly in recent decades are Java and Ruby and the profiler situation is for both those languages is kind of shitty. I had to pay real money to get the Java profiler I used at AWS and while it worked, it was klunky, not fun to use.
These days, async profiler (https://github.com/jvm-profiling-tools/async-profiler) is much better than the Go tooling for performance. It is a joy to use and features a top-like view for the hottest methods. It works for locks, allocations and CPU time. It also integrates with JMH.
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Why would a Java prime sieve run at only half its speed _some_ of the times?
Also, running it under a profiler (I recommend async-profiler[1]) should give you a good idea of where the slowdown occurs which might help you pin it down further.
[1] https://github.com/jvm-profiling-tools/async-profiler
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Is there a way to know if my java game is slow on other computers?
Profile it. async-profiler is really great. Alternatively you can check out VisualVM/JProfiler/YourKit
- Best performance monitoring tools?
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Rust Option 30x more efficient to return than Java Optional
async-profiler is really great at analyzing allocations, give it a shot!
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Ask Java: what are some JFR-based tools that you enjoy?
JFR to Flame Graph Converter
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Utility script for generating flamegraphs from JFR logs without dependencies.
Async Profiler converter tool does support JFR to Flame Graph, JFR to FlameScope, collapsed stacks to Flame Graph -https://github.com/jvm-profiling-tools/async-profiler#download
.NET Runtime
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Airline keeps mistaking 101-year-old woman for baby
It's an interesting "time is a circle" problem given that a century only has 100 years and then we loop around again. 2-digit years is convenient for people in many situations but they are very lossy, and horrible for machines.
It reminds me of this breaking change to .Net from last year.[1][2] Maybe AA just needs to update .Net which would pad them out until the 2050's when someone born in the 1950s would be having...exactly the same problem in the article. (It is configurable now so you could just keep pushing it each decade, until it wraps again).
Or they could use 4-digit years.
[1] https://github.com/dotnet/runtime/issues/75148
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The software industry rapidly convergng on 3 languages: Go, Rust, and JavaScript
These can also be passed as arguments to `dotnet publish` if necessary.
Reference:
- https://learn.microsoft.com/en-us/dotnet/core/deploying/nati...
- https://github.com/dotnet/runtime/blob/main/src/coreclr/nati...
- https://github.com/dotnet/runtime/blob/5b4e770daa190ce69f402... (full list of recognized keys for IlcInstructionSet)
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The Performance Impact of C++'s `final` Keyword
Yes, that is true. I'm not sure about JVM implementation details but the reason the comment says "virtual and interface" calls is to outline the difference. Virtual calls in .NET are sufficiently close[0] to virtual calls in C++. Interface calls, however, are coded differently[1].
Also you are correct - virtual calls are not terribly expensive, but they encroach on ever limited* CPU resources like indirect jump and load predictors and, as noted in parent comments, block inlining, which is highly undesirable for small and frequently called methods, particularly when they are in a loop.
* through great effort of our industry to take back whatever performance wins each generation brings with even more abstractions that fail to improve our productivity
[0] https://github.com/dotnet/coreclr/blob/4895a06c/src/vm/amd64...
[1] https://github.com/dotnet/runtime/blob/main/docs/design/core... (mind you, the text was initially written 18 ago, wow)
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Java 23: The New Features Are Officially Announced
If you care about portable SIMD and performance, you may want to save yourself trouble and skip to C# instead, it also has an extensive guide to using it: https://github.com/dotnet/runtime/blob/69110bfdcf5590db1d32c...
CoreLib and many new libraries are using it heavily to match performance of manually intensified C++ code.
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Locally test and validate your Renovate configuration files
DEBUG: packageFiles with updates (repository=local) "config": { "nuget": [ { "deps": [ { "datasource": "nuget", "depType": "nuget", "depName": "Microsoft.Extensions.Hosting", "currentValue": "7.0.0", "updates": [ { "bucket": "non-major", "newVersion": "7.0.1", "newValue": "7.0.1", "releaseTimestamp": "2023-02-14T13:21:52.713Z", "newMajor": 7, "newMinor": 0, "updateType": "patch", "branchName": "renovate/dotnet-monorepo" }, { "bucket": "major", "newVersion": "8.0.0", "newValue": "8.0.0", "releaseTimestamp": "2023-11-14T13:23:17.653Z", "newMajor": 8, "newMinor": 0, "updateType": "major", "branchName": "renovate/major-dotnet-monorepo" } ], "packageName": "Microsoft.Extensions.Hosting", "versioning": "nuget", "warnings": [], "sourceUrl": "https://github.com/dotnet/runtime", "registryUrl": "https://api.nuget.org/v3/index.json", "homepage": "https://dot.net/", "currentVersion": "7.0.0", "isSingleVersion": true, "fixedVersion": "7.0.0" } ], "packageFile": "RenovateDemo.csproj" } ] }
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Chrome Feature: ZSTD Content-Encoding
https://github.com/dotnet/runtime/issues/59591
Support zstd Content-Encoding:
- Writing x86 SIMD using x86inc.asm (2017)
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Why choose async/await over threads?
We might not be that far away already. There is this issue[1] on Github, where Microsoft and the community discuss some significant changes.
There is still a lot of questions unanswered, but initial tests look promising.
Ref: https://github.com/dotnet/runtime/issues/94620
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Redis License Changed
https://github.com/dotnet/dotnet exists for source build that stitches together SDK, Roslyn, runtime and other dependencies. A lot of them can be built and used individually, which is what contributors usually do. For example, you can clone and build https://github.com/dotnet/runtime and use the produced artifacts to execute .NET assemblies or build .NET binaries.
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Garnet – A new remote cache-store from Microsoft Research
Yeah, it kind of is. There are quite a few of experiments that are conducted to see if they show promise in the prototype form and then are taken further for proper integration if they do.
Unfortunately, object stack allocation was not one of them even though DOTNET_JitObjectStackAllocation configuration knob exists today, enabling it makes zero impact as it almost never kicks in. By the end of the experiment[0], it was concluded that before investing effort in this kind of feature becomes profitable given how a lot of C# code is written, there are many other lower hanging fruits.
To contrast this, in continuation to green threads experiment, a runtime handled tasks experiment[1] which moves async state machine handling from IL emitted by Roslyn to special-cased methods and then handling purely in runtime code has been a massive success and is now being worked on to be integrated in one of the future version of .NET (hopefully 10?)
[0] https://github.com/dotnet/runtime/issues/11192
[1] https://github.com/dotnet/runtimelab/blob/feature/async2-exp...
What are some alternatives?
container-jfr - Secure JDK Flight Recorder management for containerized JVMs
Ryujinx - Experimental Nintendo Switch Emulator written in C#
junit-jfr - a JUnit 5 extension that generates JFR events
ASP.NET Core - ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
jmh - https://openjdk.org/projects/code-tools/jmh
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
jfr-libraries - a list of libraries that generate JFR events
WASI - WebAssembly System Interface
Arthas - Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
CoreCLR - CoreCLR is the runtime for .NET Core. It includes the garbage collector, JIT compiler, primitive data types and low-level classes.
opentelemetry-java-instrumentation - OpenTelemetry auto-instrumentation and instrumentation libraries for Java
vgpu_unlock - Unlock vGPU functionality for consumer grade GPUs.