similar to: OT: Need PCI only Video Card recommendation for use with WINE

I applied the changes manually. This time, Xorg is actually starting... [ 16.862744] WARNING: CPU: 3 PID: 381 at drivers/gpu/drm/nouveau/nouveau_bo.c:280 nouveau_bo_new+0x450/0x4d0 [nouveau] [ 16.873333] Modules linked in: nouveau i2c_algo_bit ttm tegra_drm gpio_keys drm_kms_helper drm drm_panel_orientation_quirks(P) host1x dwmac_dwc_qos_eth stmmac_platform stmmac ptp pps_core syscopyarea

</font> <ul class="D"> <li class="D_off">Two Available PCI Express x8 Slots</li> <li class="D_on">Two Available PCI Express x8 Low Profile Slots</li> <li class="D_off">One Available 64-bit/100MHz PCI-X slot</li> </ul> The list has already answered what goes in what slot so I won't repeat that.

So, in the ongoing saga of the unusual 1U short-depth workstation, we have narrowed the field to two choices. Both entrants are configured with 16GB memory (4x4GB), two 2.5" drives (1x250GB SSD and 1x1TB HDD), and an NVIDIA NVS510 graphic card (quad display): 1) SuperMicro 5017R-MF, Xeon E5-2609 processor 2) SuperMicro 5017C-LF, Xeon E3-1220 processor (I wish SuperMicro had a list of their

On 23/09/2019 13:10, Nicolas Kovacs wrote: > Hi, > > I have a CentOS 7 desktop client installed on an old Dell Optiplex > computer with an Intel video card integrated into the motherboard. The > card has a single VGA connector, and the 19" monitor is connected to it. > > I wonder how I could connect a video projector to this computer while > keeping the monitor, in a

I had posted a question recently on this list regarding the new series of cards from 3ware, and wanted to follow up with some real-world results. My test motherboard was an Intel D945GTPLKR (a desktop board). I was able to use the motherboard video and plug the 3ware card into the PCIe x16 slot. The card I was testing with (16ML) is a PCIe x8 card. Hardware-wise, everything worked without

Dear R-List, (I am not sure whether this list is the right place for my question...) I have a dataframe df.cfa

Hi! I would need an advice from those that use IB (as admins :) ) i have a choice between : 1. Mellanox InfiniHost? III Lx HCA card, single-port CX4, DDR, PCIe x8, mem-free, tall bracket, RoHS R5 2. QLogic Single Port 20 Gb InfiniBand to x16 PCI Express Adapter (Single Pack) aside the price is there anything else that could help me make a discrimination between this two? (these will be used in

Hi to all, I am in the process of setup a new asterisk server, I think in the HP Proliant ML350 G6 Server (aprox. 100 SIP Users), and Sangoma A102DE Card. The specs of the Proliant (HP PART 487932-001) about PCI are the next. 1 ( 1 ) x PCI Express 2.0 x16 ( x8 mode ) , 1 ( 1 ) x PCI Express 2.0 x8 ( x8 mode ) , 4 ( 3 ) x PCI Express 2.0 x8 ( x4 mode ) The question is, if

Hi there, I want to do a nonparametric covariance analysis and I have tried to use the package "sm" function "sm.ancova" but it didn't work for me because I have more then one covariates (I have 18 covariates and 3 factors). I want to analyse for one factor (who has 13 levels) where the differences for my response are, using the explanatory (covariates). (The other two

Hi Milu, byapply(df, 12, function(x) apply(x, 1, max)) You might also be interested in the matrixStats package. Best, Ista On Tue, Feb 20, 2018 at 9:55 AM, Miluji Sb <milujisb at gmail.com> wrote: > Dear all, > > I have monthly data in wide format, I am only providing data (at the bottom > of the email) for the first 24 columns but I have 2880 columns in total. > > I

The maximum over twelve columns is the maximum of the twelve maxima of each of the columns. single_col_max <- apply(x, 2, max) twelve_col_max <- apply( matrix(single_col_max, nrow = 12), 2, max ) ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie

Hi everybody, If I've a data frame like this: dataframe a X0 X2 X4 X6 X8 X10 X12 X14 X16 1957 0 0 0 0 0 0 0 0 0 1958 0 0 0 0 0 0 0 0 0 1959 831 0 0 0 0 0 0 0 0 1960 544 282 0 0 0 0 0 0 0 1961 446 365 0 0 0 0 0 0 0 1962 442 473 0 0 0 0 0 0 0 1963 595 468 0 0 0 0 0 0 0 1964

Hi, I am trying to execute a simple hello world program compiled like so: path/to/compiled/clang -o test --target=aarch64-linux-gnu -march=armv8.5-a -fsanitize=hwaddress --sysroot=/usr/aarch64-linux-gnu/ -L/usr/lib/gcc/aarch64-linux-gnu/10.1.0/ -g test.c However, when I look at the disassembly, there is an unknown instruction listed at 0x2d51c: 000000000002d4c0 main: 2d4c0: ff c3 00 d1

Hi Thierry, Thanks for the patch. I applied on top of linux-next-2017-12-14. Different output this time. [ 11.862495] WARNING: CPU: 1 PID: 254 at drivers/gpu/drm/nouveau/nvkm/subdev/mmu/vmmgf100.c:391 gf100_vmm_new_+0x60/0x128 [nouveau] [ 11.863458] tegra-dpaux 155c0000.dpaux: 155c0000.dpaux supply vdd not found, using dummy regulator [ 11.866197] tegra-sor 15580000.sor: failed to probe

Ista, et. al: efficiency? (Note: I needed to correct my previous post: do.call() is required for pmax() over the data frame) > x <- data.frame(matrix(runif(12e6), ncol=12)) > system.time(r1 <- do.call(pmax,x)) user system elapsed 0.049 0.000 0.049 > identical(r1,r2) [1] FALSE > system.time(r2 <- apply(x,1,max)) user system elapsed 2.162 0.045 2.207 ##

When I used svmlight, I got below error: my command is: foo <- svmlight(y~., data= myData) the results: Error in file(con, "r") : unable to open connection In addition: Warning messages: 1: svm_learn not found 2: cannot open file '_model_1.txt' > myData[1:2,] y X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 1 1 63 1 0 0 145 233 1 1 0 150 0 2.3 1

Hello, I have data frames X1 to X19 I want a simple way to bind them as the next run(s) will generate many more sequential data frames. I tried the following with i = 19: > my.list <- as.list(paste("X",1:i,sep="")) > new.data <- do.call("rbind", my.list) > new.data [,1] [1,] "X1" [2,] "X2" [3,] "X3" [4,]

Dear all, I have monthly data in wide format, I am only providing data (at the bottom of the email) for the first 24 columns but I have 2880 columns in total. I would like to take max of every 12 columns. I have taken the mean of every 12 columns with the following code: byapply <- function(x, by, fun, ...) { # Create index list if (length(by) == 1) { nc <- ncol(x)

Fwiw, encoding magnitude in color is generally a bad idea. Using area(*not* radius) is also not great, but maybe it will work for you. See here for some explanation: https://www.amazon.com/Visual-Display-Quantitative-Information/dp/0961392142/ref=sr_1_1?s=books&ie=UTF8&qid=1518092778&sr=1-1&keywords=Tufte Bert On Feb 7, 2018 11:13 PM, "greg holly" <mak.hholly at

This is what I was looking for. Thank you everyone! Sincerely, Milu <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> Mail priva di virus. www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail>