similar to: parallel I/O on shared-memory multi-CPU machines

Hi all, I recently found out that R does not utilize fully the Duo Core capability when you only run one instance of R. I did some number crunching today and it seems that if I only open 1 R console, it uses 50% of my CPU (either 50-50 or 100-0 on 2 cores). Then, I open the second instance and divide the work into two parts, and run them parallelly, they seems to utilize 100% of my CPU. So, my

Almost all of the heavy crunching I do in R is like: > for(i in long.list){ + do.something(i) + } > collect.results() Since all the invocations of do.something are independent of one another, there is no reason that I can't run them in parallel. Since my machine has four processors, a natural way to do this is to divide up long.list into 4 pieces and then start 4 jobs, each of which

Hello to all: I know this list is generally Linux-only, but I figured I'd try to gain wisdom from those with hard-core Windows needs, too. I was recently pricing out a high-end desktop system for a user who will doing a lot of CAD, Matlab, SolidWorks, and other apps that will utilize a lot of number crunching and video. The quote for the desktop (64-bit Vista is likely), which included 12

Hi, Since a while I am curious to buy a machine with hardware virtualization support. Finally, they start to become available here in Germany. So, I want to get such a machine. I want to buy a dell inspiron 6400 or an IBM thinkpad T60 which are said to have such a mobile processor with hardware virtualization - does anybody have experiences with these? Looking in the Hardware compatibility

Am considering a new laptop, and I wonder if anyone here can share their Xen experiences with the newest Core 2 Duo CPUs, ref http://www.intel.com/products/processor/core2duo/specifications.htm The list at http://wiki.xensource.com/xenwiki/HVM_Compatible_Processors doesn''t include any Core 2 Duos. Does that mean that people have had problems, or is the wiki just not up to date? I gather

I have been tied up with other work and Holidays. Now back to some server work that is long overdue. I lost an old server yesterday so it is crunch time. I believe my new platform is suppose to be an x86_64. The order form says 64 bit. I booted Centos 6.3 i386 liveCD to check the system out before an install. uname -i reports i386 dmidecode -t processor reports Characteristics of 64

I'm considering setting up a Lustre cluster system for our XEN virtual machines as shared storage, mainly for high availability on our XEN VPS servers. Does anyone use Lustre in a production environment? What is your opinions / experiences with it? One of the main reasons I'm looking at using Lustre is that we have a few older machines, of different specs that I want to use for storage

Alrighty. I'm having a hell of a time and I need help. I'll try to give as much information as possible. ---------- HARDWARE ---------- MB: Supermicro PDSBM-LN2+ Intel 946GZ ICH7R + Intel? 82573 Memory: Crucial 512Mb, 1Gb, 2Gb modules matched to above MB. Processors: Intel Celeron 420 Conroe-L, 1.6GHz 512KB 64-bit Intel Core 2 Duo E6320, 1.86Ghz 4Mb 64-bit Intel Pentium E2140

One of the things that I''ve been asked to look at lately is interrupt load spreading, and intrd, to improve the network performance of CMT systems. From my read of the code, it looks like intrd only knows about virtual processors. This has major breakage in that all the virtual processors on a single core in a Niagra system share the common interrupt logic. I.e. when the

I have a dual processor machine and got mad that both processors were not working away at compiling wxRuby. At first I tried using Ruby threads but they are ''fake'' software threads that run in one process on one cpu. So until Ruby gets ''real'' threads I added a task to rake that generates a makfile which is run with the command: ''make -j 2''

Hi, Any plans to realse in Cran binaries for R base & packages, for Windows using 64bit, now that the AMD 64 is coming out? It seems a perfect match for cost effective high performane number crunching?? Many thanks, Alex Gracian

>From /xen-unstable.hg/xen/arch/x86/cpu/intel.c if ((c->x86 == 0xf && c->x86_model >= 0x03) || (c->x86 == 0x6 && c->x86_model >= 0x0e)) set_bit(X86_FEATURE_CONSTANT_TSC, c->x86_capability); if (cpuid_edx(0x80000007) & (1u<<8)) { set_bit(X86_FEATURE_CONSTANT_TSC, c->x86_capability); set_bit(X86_FEATURE_NONSTOP_TSC,

Dear R Users, I hope that there is someone who has an experience with a problem that I describe below and will help me. I must buy new desktop computer and I'm wondering which processor to choose if my only aim is to speed up R. I would like to reduce a simulation time - sometimes it takes days. I consider buying one of them (I'm working under Win XP 32 bit): 1. Intel Core2 Duo E6700

Proposal for function vectorization and loop vectorization with function calls ============================================================================== Intel Corporation (3/2/2016) This is a proposal for an initial work towards Clang and LLVM implementation of vectorizing a function annotated with OpenMP 4.5's "#pragma omp declare simd" (named SIMD-enabled function) and its

Hi, thanks for previous help. I have some question about Lustre RPC and the sequence of events that occur during large concurrent write() involving many processes and large data size per process. I understand there is a mechanism of flow control by credits, but I''m a little unclear on how it works in general after reading the "networking & io protocol" white paper. Is

Hello, Any word on when extended attribute support will be added to OCFS2? What are the impediments to someone implementing this? Alternatively, has anyone implemented a patch to add extended attribute support to OCFS2? I've been watching the open source Lustre fs development, too. I noticed that they have added extended attribute support. However, OCFS2 is more attractive for some

Apparently my ssh agent is feeling energetic today: debug1: Authentications that can continue: publickey,password debug1: Next authentication method: publickey debug1: Offering RSA public key: [...] debug1: Authentications that can continue: publickey,password debug1: Offering RSA public key: [...] debug1: Authentications that can continue: publickey,password debug1: Offering RSA public key:

Are there any known problems when you install LLVM onto x86-64 machines? I just want to know if I can install LLVM without a glitch before I purchase a machine with faster processors, like core 2 duo. Could you share your experiences? Thanks in advance. -------------- next part -------------- An HTML attachment was scrubbed... URL:

Dear All, I appreciate any advice or hints you could provide about the following. We are running R code in a server (running Windows XP and QuadCore Xeon processors, see details below) and we would like to use the server efficiently. Our code takes a bit more than 6 seconds per 25 iterations in the server using a default R 2.10.0 installation. We tested our code in two other computers, a Dell

I'm using .Call() to call C code from R under Windows (on an Intel Core 2 duo). The C code involves some very small numbers, and I think I'm losing precision using doubles. I thought I might use long doubles to see if I can get that precision back. I have a few questions: 1. Does this affect the portability to other OSs or processors? 2. I'm returning the results in a matrix. Will