similar to: BLAS

Hi, I want to encode Loongson ISA initially https://gist.github.com/xiangzhai/8ae6966e2f02a94e180dd16ff1cd60ac gslbx           $2,0($3,$4) It is equivalent to: dadd $1, $3, $4 lb $2,0($1) I just use  mem_simmptr  as the default value of  DAGOperand MO , because  MipsMemAsmOperand  use  parseMemOperand  to parse general  MemOffset  and only *one*  AnyRegister , for example: 0($1) But 

Hi LLVM developers, GCC[1] is able to use Loongson ISA[2] for instruction selection: $ cat hello.c #include <stdio.h> int main(int argc, char *argv[]) { printf("Hello World\n"); return 0; } $ gcc -O0 -S hello.c $ cat hello.s .file 1 "hello.c" .section .mdebug.abi64 .previous .nan legacy .gnu_attribute 4, 1 .abicalls

- my old email address. The ISA_* classes might not be the best choice for this. There's an overall hierarchy and ordering to the ISA_* classes since they represent the generations of the MIPS ISA. If these extensions are available in Loongson chips based on MIPS32r1 and MIPS32r2 for example, it becomes difficult to describe with ISA_* classes without duplicating instruction definitions or

Hi I just read the thread on gotoBLAS, as well as the excellent vignette of gcbd. I still have some confusion and would like to ask very basic questions, hope I am not taking too much of your time. The point that retained my attention was the question of using implicit (multi-threaded blas) versus explicit (parallel code) optimisation. As I understood, the ideal would be to use a

Can one of you give me an R program that displays the benefits an accelerated BLAS in R? Here's why I ask, in case you wonder: In a linux cluster, I've hit some bumps in the road. The worst one by far was that I installed R, then GotoBLAS2 with default settings, and after that, jobs using Rmpi were *really* *really* slow. I mean horrible. If a job took 15 minutes when run by itself,

Hi, I installed F14 on release, but was diquieted to note that my symlinked GotoBLAS (http://cran.r-project.org/doc/manuals/R-admin.html#Shared-BLAS, foot of paragraph) prevented R (compiled from source, no special configure options) from loading - everything had been fine on F < 14. It seems that: cat /selinux/booleans/allow_execstack is 1 1 on my RHEL systems, but became (?) 0 0 in F14.

Has anyone succeeded in getting a parallel BLAS, such as Goto's BLAS, installed on a machine running Ubuntu 11.10? I currently have the libatlas3gf-base package installed on a machine with an AMD Athlon X4 processor. I tried to install the libopenblas-base and libopenblas-dev packages but there seemed to be a glich related to having both libopenblas and libatlas3gf installed so that when I

I think the thing that is missing is a simple way for end users on windows to replace blas/lapack libraries with MKL-a package that you install that puts the libraries in the right place. Microsoft provides something for their distro, but we don't have the equivalent if you get R from cran. On 29 October 2017 at 22:01, Kenny Bell wrote: | User here: incorporating Intel's MKL, as MRO

Hi all, I've compiled R (version 2.8.1) from the source code with "--with- blas=" option in order to use external multi-threaded blas package. However, it's very hard to verify that compilation is correct and R is using multi-threads correctly or not. Which command or operation in R will run with multi-threads? I assumed that matrix multiplication %*% may call multi-threaded

Hello r-bugs, I am running openSuse 11.0, with my new Intel 8500 (Penryn) C2D, and I want to use icc and ifort. I was able to get a working Goto BLAS, following Dr. Goto's instructions. That seems to work OK with gcc and gfortran. I get about 10% faster computations by using -O3 rather than -O2. I get faster results with Goto BLAS rather than the R BLAS. Now I want to make icc and ifort

Looked at several posts and the installtions docs and still not clear.? If I compile source codes and then somewhere down the line add a new package, then I have to recompile my entire installation, correct?? Seems like this is the sentiment of the emails I read.

Here is the report and the complete diagram. And sorry for email problem and incomplete email ! I have made new test. Eth0 and eth2 are bridged. I can ping NET from LAN I can ping every firewall''s interface from LAN I can ping eth1 from private LAN I can ping everything from firewall Bridging is activated in shorewall.conf >From LAN i can ping 192.168.11.253 but not 192.168.11.254

On 29 October 2017 at 22:01, Kenny Bell wrote: | User here: incorporating Intel's MKL, as MRO does, would be a very welcome | addition. | | I was an MRO user before and it improved my experience with medium data | immensely. | | They did, however, leave behind bugs here and there, especially related to | development with Rcpp, so I switched back to vanilla R. With all due respect: You may

My IT people have set up a Kubuntu box with an RWkard front end.? I have OpenBLAS set up as a shared BLAS but I'm not sure how to get R to see it.? A.3.1 of the installation docs talks about it but I'm not clear if I need a option on my startup line or if I need to find a config file.? The BLAS is is in: ? /usr/lib/openblas-base ? on my machine. Recommendations?

I'm getting the following error in a script: "Error: could not find function "lmer."??? I'm wondering of my lme4 package is installed incorrectly.? Can someone tell me the installation procedure?? I looked at the support docs but couldn't translate that into anything that would work.

?I want to take advantage of my multicore CPU to speed up a loop in a simulation program.? I didn?t write the code, but the iterations appear independent to me, at least in the sense that the results of one loop do not depend on previous ones.? Right now I?m relegated to a Windows box that runs Windows 7.? These appear to be the options: ? Pnmath-appears to parallelize non-BLAS routine but

I have a box set up with Kubuntu as the OS.? I didn't perform the R install but was told the version of R available via the apt-get command was 2.13.1.? Is there any way to get 2.14.0 in that same manner?

I am trying to add Michael Rutter's ppa to my repository.? I cannot do this from the command line.? I think I may be behind a firewall so copying the key to a text file is my best option.? When I search for the key at http://keyserver.ubuntu.com:11371/ the search fails. Tried typing and cutting and pasting E084DAB9 into the search box without success. How can I get the key?

I want to use the grplasso package on a data set where I want to fit a linear model.? My interest is in identifying significant?beta coefficients.? The documentation is a bit cryptic so I'd appreciate some help. ? I know this is a strategy for large numbers of variables but consider a simple case for pedagogical puposes.? Say I have?two 3 category predictors (2 dummies each), a binary

Thanks for your reply, Perl is implied ??? here is the version : nraynaud at macaron-2:~/Desktop/geek/fp$ perl --version This is perl, v5.8.8 built for darwin-thread-multi-2level (with 2 registered patches, see perl -V for more detail) the two patches are : Locally applied patches: fix for regcomp CVE-2007-5116 security vulnerability fix for double-free CVE-2008-1927 security