digitalmars.D.announce - Calling D from Ruby for GPU computing
- Prasun Anand (17/17) Jul 28 2017 Hi,
- Michael (6/24) Aug 04 2017 I don't know much about your work but it sounds like an
- Prasun Anand (10/41) Aug 06 2017 It was easy interfacing CUDA. I used `dstep` to create the
- Prasun Anand (6/8) Aug 06 2017 `faster_lmm_d` was written in D. Since, I needed to use CUDA,
Hi, I wrote a Linear Mixed Model tool for Genome Wide Association Studies(GWAS) called [faster_lmm_d](https://github.com/prasunanand/faster_lmm_d). It is built on LDC and is faster than its Python alternative. Also, its the only GWAS tool with a GPU backend. I am interested in porting ` faster_lmm_d` to Ruby. Though, it is still a work in progress, I have written a blog about my findings. Blog: http://www.prasunanand.com/gpu-computing/2017/07/25/gsoc17-calling-d-from-ruby-for-gpu-computing.html I would love to hear your feedback. Regards, Prasun [Previously posted on LDC thread: http://forum.dlang.org/thread/rzrawenyssbiidsgtohx forum.dlang.org]
Jul 28 2017
On Saturday, 29 July 2017 at 06:54:47 UTC, Prasun Anand wrote:Hi, I wrote a Linear Mixed Model tool for Genome Wide Association Studies(GWAS) called [faster_lmm_d](https://github.com/prasunanand/faster_lmm_d). It is built on LDC and is faster than its Python alternative. Also, its the only GWAS tool with a GPU backend. I am interested in porting ` faster_lmm_d` to Ruby. Though, it is still a work in progress, I have written a blog about my findings. Blog: http://www.prasunanand.com/gpu-computing/2017/07/25/gsoc17-calling-d-from-ruby-for-gpu-computing.html I would love to hear your feedback. Regards, Prasun [Previously posted on LDC thread: http://forum.dlang.org/thread/rzrawenyssbiidsgtohx forum.dlang.org]I don't know much about your work but it sounds like an interesting application for D. How easy was it interfacing with cuda? Was it just cuda you targeted or would it also work with OpenCL? What made you choose D over going straight to C to work directly with cuda?
Aug 04 2017
On Saturday, 5 August 2017 at 01:15:19 UTC, Michael wrote:On Saturday, 29 July 2017 at 06:54:47 UTC, Prasun Anand wrote:It was easy interfacing CUDA. I used `dstep` to create the bindings and for CUDA and CUBLAS headers. I got interesting results but would be working on improving the performance.Hi, I wrote a Linear Mixed Model tool for Genome Wide Association Studies(GWAS) called [faster_lmm_d](https://github.com/prasunanand/faster_lmm_d). It is built on LDC and is faster than its Python alternative. Also, its the only GWAS tool with a GPU backend. I am interested in porting ` faster_lmm_d` to Ruby. Though, it is still a work in progress, I have written a blog about my findings. Blog: http://www.prasunanand.com/gpu-computing/2017/07/25/gsoc17-calling-d-from-ruby-for-gpu-computing.html I would love to hear your feedback. Regards, Prasun [Previously posted on LDC thread: http://forum.dlang.org/thread/rzrawenyssbiidsgtohx forum.dlang.org]I don't know much about your work but it sounds like an interesting application for D. How easy was it interfacing with cuda?Was it just cuda you targeted or would it also work with OpenCL?Yes, OpenCL is supported using ArrayFire. I have targeted CUDA specifically for better performance.What made you choose D over going straight to C to work directly with cuda?`faster_lmm_d`
Aug 06 2017
Prasun Anand <prasunanand.bitsp gmail.com> `faster_lmm_d` was written in D. Since, I needed to use CUDA, I had to create the D bindings. I found using CUDA for GPU computing in D as easy as doing it in C. Regards, PrasunWhat made you choose D over going straight to C to work directly with cuda?
Aug 06 2017