search for: 27.99

Thank you so much Dr. Nash, I truly appreciate your kind and valuable contribution. Cheers, Paul El El s?b, 19 de ago. de 2023 a la(s) 3:35 p. m., J C Nash < profjcnash at gmail.com> escribi?: > Why bother. nlsr can find a solution from very crude start. > > Mixture <- c(17, 14, 5, 1, 11, 2, 16, 7, 19, 23, 20, 6, 13, 21, 3, 18, 15, > 26, 8, 22) > x1 <- c(69.98, 72.5,

Dear friends, Hope you are all doing well and having a great weekend. I have data that was collected on specific gravity and spectrophotometer analysis for 26 mixtures of NG (nitroglycerine), TA (triacetin), and 2 NDPA (2 - nitrodiphenylamine). In the dataset, x1 = %NG, x2 = %TA, and x3 = %2 NDPA. The response variable is the specific gravity, and the rest of the variables are the predictors.

The cautions people have given about starting values are worth heeding. That nlxb() does well in many cases is useful, but not foolproof. And John Fox has shown that the problem can be tackled very simply too. Best, JN On 2023-08-19 18:42, Paul Bernal wrote: > Thank you so much Dr. Nash, I truly appreciate your kind and valuable contribution. > > Cheers, > Paul > > El El

Current dragonegg svn has all of the -fplugin-arg-dragonegg-enable-gcc-optzns bugs for usage with -ffast-math -O3 addressed except for those related to PR2314. Using the -fno-tree-vectorize option, we can evaluate the current state of -fplugin-arg-dragonegg-enable-gcc-optzns with the Polyhedron 2005 benchmarks compared to stock dragonegg and stock gcc 4.5.4. The runtime benchmarks below show that

Hi, we're setting up a glusterfs server apir with replication and am testing performance. While doing that we stumbled over that in top: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 5151 root 20 0 6184m 5.9g 2540 R 200 9.3 28:27.99 glusterfs 5618 root 20 0 392m 34m 2116 S 38 0.1 24:53.10 glusterfsd When under heavy load, CPU usage will

Hi Jack, On 29/05/13 22:04, Jack Howarth wrote: > On Wed, May 29, 2013 at 03:25:30PM +0200, Duncan Sands wrote: >> Hi Jack, I pulled the loop vectorizer and fast math changes into the 3.3 branch, >> so hopefully they will be part of 3.3 rc3 (and 3.3 final!). It would be great >> if you could redo the benchmarks rc3. >> > > Duncan, > As requested, appended

Hi Jack, thanks for these numbers. Can you also please measure compile times? I'm thinking of enabling gcc optimizations by default, but I don't want to increase compile times, which means choosing a value for the -fplugin-arg-dragonegg-llvm-ir-optimize option that is low enough to get good compile times, yet high enough to get fast code. It would be great if you could play around with

On Sat, Jun 01, 2013 at 06:45:48AM +0200, Duncan Sands wrote: > > These results are very disappointing, I was hoping to see a big improvement > somewhere instead of no real improvement anywhere (except for gas_dyn) or a > regression (eg: mdbx). I think LLVM now has a reasonable array of fast-math > optimizations. I will try to find time to poke at gas_dyn and induct: since >

Duncan, Below are the tabulated compile times and executable sizes. A) gcc 4.5.4svn using -msse3 -ffast-math -O3 -fno-tree-vectorize B) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize -fplugin-arg-dragonegg-enable-gcc-optzns C) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize Compile time (seconds) Benchmark A) stock B) gcc 4.5.4/ C)

Hi Jack, thanks for splitting out what the effects of LLVM's / GCC's vectorizers is. On 01/06/13 21:34, Jack Howarth wrote: > On Sat, Jun 01, 2013 at 06:45:48AM +0200, Duncan Sands wrote: >> >> These results are very disappointing, I was hoping to see a big improvement >> somewhere instead of no real improvement anywhere (except for gas_dyn) or a >> regression

Hi Jack, thanks for doing this. > Below are the tabulated compile times and executable sizes. > > A) gcc 4.5.4svn using -msse3 -ffast-math -O3 -fno-tree-vectorize > B) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize -fplugin-arg-dragonegg-enable-gcc-optzns > C) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize These numbers really

Jack, Can you please file a bug report and attach the BC files for the major loops that we miss ? Thanks, Nadav On Jun 2, 2013, at 1:27, Duncan Sands <duncan.sands at gmail.com> wrote: > Hi Jack, thanks for splitting out what the effects of LLVM's / GCC's vectorizers > is. > > On 01/06/13 21:34, Jack Howarth wrote: >> On Sat, Jun 01, 2013 at 06:45:48AM +0200,

ANNOUNCEMENT: 20% Discount on Books from Chapman & Hall/CRC Press! SPECIAL 20% OFF NEW R BOOKS FROM CHAPMAN & HALL/CRC Use discount code 952HW to take advantage of these special offers. Chapman & Hall/CRC is pleased to provide our latest titles on R at a 20% discount. And that's all you will pay, because Chapman & Hall/CRC offers free standard shipping on ALL book

Actually this kind of opportunities, as outlined bellow, was one of my contrived motivating example for fast-math. But last year we don't see such opportunities in real applications we care about. t1 = x1/y ... t2 = x2/y. I think it is better to be taken care by GVN/PRE -- blindly convert x/y => x *1/y is not necessarily beneficial. Or maybe we can blindly perform such

Get 20% off selected Cambridge books for the R-help community. Until the end of June, R-help users can get an exclusive discount on the following Cambridge University Press books that use R or S-plus! Simply visit http://www.cambridge.org/rbooks and click the appropriate link to get more information about the book(s) that interests you. To get your discount, you will need to click the

On Thu, Jun 09, 2011 at 03:44:40PM +0200, Duncan Sands wrote: > Hi Jack, thanks for doing this. > >> Below are the tabulated compile times and executable sizes. >> >> A) gcc 4.5.4svn using -msse3 -ffast-math -O3 -fno-tree-vectorize >> B) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize -fplugin-arg-dragonegg-enable-gcc-optzns >> C)

Can you please post the following offer to the R listserv members? Chapman & Hall/CRC Press is delighted to offer you a 20% off Discount on our latest and bestselling R books. Please order online at www.crcpress.com. Enter promotion code 783EM to apply discount. Recently Published! Statistical Computing with R Maria L. Rizzo, Bowling Green State University, Bowling Green, OH,

Take advantage of a 20% discount on the most recent R books from Chapman & Hall/CRC! We are pleased to offer our latest books on R at a 20% discount through our new website. To take advantage of this offer, simply visit http://www.crcpress.com/, choose your titles and insert code 281DW in the 'Promotion Code' field at checkout. Standard shipping is also free on all orders from

On Thu, Jun 09, 2011 at 03:44:40PM +0200, Duncan Sands wrote: > Hi Jack, thanks for doing this. > >> Below are the tabulated compile times and executable sizes. >> >> A) gcc 4.5.4svn using -msse3 -ffast-math -O3 -fno-tree-vectorize >> B) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize -fplugin-arg-dragonegg-enable-gcc-optzns >> C)

As multi-queue nics were commonly used for high-end servers, current single queue based tap can not satisfy the requirement of scaling guest network performance as the numbers of vcpus increase. So the following series implements multiple queue support in tun/tap. In order to take advantages of this, a multi-queue capable driver and qemu were also needed. I just rebase the latest version of