lEDfm4UEのブックマーク - はてなブックマーク

How I developed a faster Ruby interpreter | Red Hat Developer

As a rule, RTL code contains fewer instructions than stack-based instructions, and as result spends less time in interpreter instruction dispatch code. But RTL sometimes spends more time in operand decoding. More importantly, RTL code results in less memory traffic, because local variables and stack values are addressed directly by RTL instructions. Therefore, stack pushes and pops of local variab

lEDfm4UE 2022/11/25

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How to debug C and C++ programs with rr | Red Hat Developer

The common theme in many time-travel movies is to go back in time to find out what went wrong and fix it. Developers also have that desire to go back in time and find why the code broke and fix it. But, often, that crucial step where everything went wrong happened long ago, and the information is no longer available. The rr project lets programmers examine the entire life of a C or C++ program run

lEDfm4UE 2021/05/06

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The MIR C interpreter and Just-in-Time (JIT) compiler | Red Hat Developer

For the past two years I've worked on a project implementing a universal lightweight Just-in-Time (JIT) compiler known as MIR. The cornerstone of the project is a machine-independent medium-level intermediate representation (MIR). A big part of the project consists of code that compiles C source code into MIR. Because MIR can be interpreted and just-in-timed, I easily extended this C-to-MIR compil

lEDfm4UE 2021/04/29

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Observations on Porting from .NET Framework to .NET Core | Red Hat Developer

You’ve heard that .NET has gone open source. You’ve also heard that it has gone cross-platform. And you’ve even heard that Red Hat is shipping a supported version of .NET on Red Hat Enterprise Linux. So maybe you are thinking to yourself, “wow, this is fantastic! I’m going to copy these EXEs and DLLs of my .NET application over to my Red Hat machine and run them!” Well, unfortunately, it’s not goi

lEDfm4UE 2016/12/24

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Fuse | Red Hat Developer

Try Red Hat products and techno logies without setup or configuration fees for 30 days with this shared Openshift and Kubernetes cluster.

lEDfm4UE 2016/12/18

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REST and microservices - breaking down the monolith step by asynchronous step | Red Hat Developer

A few days ago I had a rant about the misuse and misunderstanding of REST (typically HTTP) for microservices. To summarize, a few people/groups have been suggesting that you cannot do asynchronous interactions with HTTP, and that as a result of using HTTP you cannot break down a monolithic application into more agile microservices. The fact that most people refer to REST when they really mean HTTP