search for: rspb

Hello All, I am trying to compile Samba on POSIX under OpenVMS on a DEC 2000 AXP, however I am having difficulty defining the right FLAGSM and LIBSSM in the Makefile. So thus I'm having trouble getting the correct #includes, can anyone help? Regards, Gavin Butler -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: application/ms-tnef

...g of node t13. Initial selection DAG: BB#0 '_start:entry' SelectionDAG has 44 nodes: t11: i16 = Constant<0> t0: ch = EntryToken t3: ch = llvm.clp.set.rspa t0, TargetConstant:i16<392>, Constant:i32<64> t5: ch = llvm.clp.set.rspb t3, TargetConstant:i16<393>, Constant:i32<64> t8: ch = llvm.clp.set.rspsu t5, TargetConstant:i16<394>, Constant:i32<8> t13: ch = store<Volatile ST4[@x1](tbaa=<0x3dbe418>)> t8, ConstantFP:f32<1.000000e+00>, GlobalAddress:i16<float* @...

...start:entry' > > SelectionDAG has 44 nodes: > >   t11: i16 = Constant<0> > >                   t0: ch = EntryToken > >                 t3: ch = llvm.clp.set.rspa t0, TargetConstant:i16<392>, > Constant:i32<64> > > t5: ch = llvm.clp.set.rspb t3, TargetConstant:i16<393>, Constant:i32<64> > >             t8: ch = llvm.clp.set.rspsu t5, TargetConstant:i16<394>, > Constant:i32<8> > >           t13: ch = store<Volatile ST4[@x1](tbaa=<0x3dbe418>)> t8, > ConstantFP:f32<1.000000e+0...

Hi, Is there a kind of scope mechanism in the instruction lowering pattern language in order to control where instructions are inserted or how they are later reordered during the SelectionDiag linearization? I know the glue chain that stick instructions together. But such mechanism in not provided in instruction lowering pattern. I'm facing many situations where some patterns are lowered into

...initialize some stack pointers. They have to be executed before any other instruction. extern float fdivfaddfmul_a(float a, float b, float c, float d); volatile static float x1,x2,x3,x4; void _start(void) { float res; __builtin_clp_set_rspa(64); __builtin_clp_set_rspb(64); __builtin_clp_set_rspsu(8); x1 = 1.0f; x2 = 2.0f; x3 = 3.0f; x4 = 4.0f; res = fdivfaddfmul_a(x1,x2,x3,x4); } -----Original Message----- From: llvm-dev [mailto:llvm-dev-bounces at lists.llvm.org] On Behalf Of Krzysztof Parzyszek via llvm-dev S...

Does anyone know of example r-code/packages for carrying out analysis? Preferably this would have examples from real experimental data of two or more competing species... Thanks Chris Buddenhagen [[alternative HTML version deleted]]

First of all, thanks to those who've set up R to work so smoothly with Miktex-- even a total Latex bunny like me got it to work instantly, so that for the first time I'm able to run my Rd files through the Latex side of RCMD CHECK. Now the question/buglet. One of my Rd files contains the following: \code{mlazy( <<objname1>>, <<objname2>>, <<etc>>)}

...ART; FPUabRegisterClass:%vreg7,%vreg5 FPUaOffsetClass:%vreg4 %vreg9<def> = COPY %vreg7; FPUabOffsetClass:%vreg9 FPUabRegisterClass:%vreg7 %vreg8<def> = FMUL_AB_oo %vreg0, %vreg9<kill>, %RFLAGA<imp-def,dead>, %RFLAGB<imp-def,dead>, %RSPA<imp-use>, %RSPB<imp-use>; FPUabROUTMULRegisterClass:%vreg8 FPUabOffsetClass:%vreg0,%vreg9 [http://www.spacebel.be/wp-content/uploads/2011/06/image-sign-sbp.jpg] Dominique Torette System Architect Rue des Chasseurs Ardennais - Liège Science Park - B-4031 Angleur Tel: +32 (0) 4 361 81 11 - Fax: +32 (0...

Hi, I wonder if anyone has written any code to implement the suggestions of Smart et al (2004) in the Bulletin of the Ecological Society of America for a new way of graphically presenting the results of logistic regression (see www.esapubs.org/bulletin/backissues/085-3/bulletinjuly2004_2column.htm#t ools1 for the full text)? I couldn't find anything relating to this sort of graphical

Hi. I'm trying to perform what should be a reasonably basic analysis of some spatial presence/absence data but am somewhat overwhelmed by the options available and could do with a helpful pointer. My researches so far indicate that if my data were normal, I would simply use gls() (in nlme) and one of the various corSpatial functions (eg. corSpher() to be analagous to similar analysis in SAS)