search for: stedolan

Are there any plans to add stack switching to LLVM? I've seen a few proposals for it floating around (some even implemented): http://ulir.ul.ie/handle/10344/2927 (implemented in: https://github.com/stedolan/llvm) https://code.google.com/p/llvm-stack-switch/ But I couldn't find any discussion of whether there was a plan to integrate one of these. Any plans to add this feature? Thanks, Josh -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/p...

...- jsonlite::stream_in > > In particular the 'corpus' package handles large files really well > because it has an option to memory-map the file instead of reading all > of its data into memory. > > If the data is too large to read, you can preprocess it using > https://stedolan.github.io/jq/ to extract the fields that you need. > > You really don't need hadoop/spark/etc for this. > [[alternative HTML version deleted]]

...pending on which existing optimizations are able to apply to the specific context switch. In some cases, the entire context switch is reduced to 1 or 2 instructions. Conveniently, the authors of that research paper actually implemented their model in a fork of LLVM! (found here: https://github.com/stedolan/llvm <https://github.com/stedolan/llvm>). The model is essentially implemented with just two additions: a new calling convention called “swapstack”, and a new intrinsic function called “newstack”. They demonstrate that these two primitives can be used not just for user-level context-switching...

Hi: I have a 2.1GB JSON file. Typically I use readLines() and jsonlite:fromJSON() to extract data from a JSON file. When I try and read in this file using readLines() R segfaults. I believe the two salient issues with this file are 1). Its size 2). It is a single line (no line breaks) I can reproduce this issue as follows #Generate a big file with no line breaks # In R >

...> >> In particular the 'corpus' package handles large files really well >> because it has an option to memory-map the file instead of reading all >> of its data into memory. >> >> If the data is too large to read, you can preprocess it using >> https://stedolan.github.io/jq/ to extract the fields that you need. >> >> You really don't need hadoop/spark/etc for this. >> > > [[alternative HTML version deleted]] > > ______________________________________________ > R-devel at r-project.org mailing list > https://stat....

I'm not sure if this is well known, but it helped me so I thought I'd share it with you. When committing to gitmonorepo, (with git llvm push) you need to have committed to your local repo first and so you need to have crafted your commit message from your the Phabricator revision. (e.g. D12345) Phabricator has the ability to give you this commit message it would have used, even if you do