similar to: matrix of size 30^5

On 03/13/2014 09:57 AM, Paolo Bonzini wrote: > Il 13/03/2014 12:21, David Vrabel ha scritto: >> On 12/03/14 18:54, Waiman Long wrote: >>> This patch adds para-virtualization support to the queue spinlock in >>> the same way as was done in the PV ticket lock code. In essence, the >>> lock waiters will spin for a specified number of times (QSPIN_THRESHOLD

On 03/13/2014 09:57 AM, Paolo Bonzini wrote: > Il 13/03/2014 12:21, David Vrabel ha scritto: >> On 12/03/14 18:54, Waiman Long wrote: >>> This patch adds para-virtualization support to the queue spinlock in >>> the same way as was done in the PV ticket lock code. In essence, the >>> lock waiters will spin for a specified number of times (QSPIN_THRESHOLD

On 12/03/14 18:54, Waiman Long wrote: > This patch adds para-virtualization support to the queue spinlock in > the same way as was done in the PV ticket lock code. In essence, the > lock waiters will spin for a specified number of times (QSPIN_THRESHOLD > = 2^14) and then halted itself. The queue head waiter will spins > 2*QSPIN_THRESHOLD times before halting itself. When it has

On 12/03/14 18:54, Waiman Long wrote: > This patch adds para-virtualization support to the queue spinlock in > the same way as was done in the PV ticket lock code. In essence, the > lock waiters will spin for a specified number of times (QSPIN_THRESHOLD > = 2^14) and then halted itself. The queue head waiter will spins > 2*QSPIN_THRESHOLD times before halting itself. When it has

Within R I need to reformat my data so that the output looks like the following: " 7 WORDS 5550 3.14159 -6. 6." Previous folks were doing this by hand, but I would like to have a formula do it. That is, (a) 7 (place holder) on second column, then a space, (b) WORDS (placeholder) is a string descriptor that is left justified to column 4, (c)

Cc Paolo, kvm ml 2016-07-06 12:58 GMT+08:00 xinhui <xinhui.pan at linux.vnet.ibm.com>: > Hi, wanpeng > > On 2016?07?05? 17:57, Wanpeng Li wrote: >> >> Hi Xinhui, >> 2016-06-28 22:43 GMT+08:00 Pan Xinhui <xinhui.pan at linux.vnet.ibm.com>: >>> >>> This is to fix some lock holder preemption issues. Some other locks >>> implementation

Cc Paolo, kvm ml 2016-07-06 12:58 GMT+08:00 xinhui <xinhui.pan at linux.vnet.ibm.com>: > Hi, wanpeng > > On 2016?07?05? 17:57, Wanpeng Li wrote: >> >> Hi Xinhui, >> 2016-06-28 22:43 GMT+08:00 Pan Xinhui <xinhui.pan at linux.vnet.ibm.com>: >>> >>> This is to fix some lock holder preemption issues. Some other locks >>> implementation

Dear R help I have conducted a fa() analysis, and I want to use fa.diagram to assess the extent to which the 11 latent factors predict the 37 items in a psychological battery. However, the display on the screen has very large font size for the coefficients of the relationship between the 11 factors and the 37 items, so the numbers overlap and are therefore illegible. When I output this to a

2014-05-07 11:01-0400, Waiman Long: > From: Peter Zijlstra <peterz at infradead.org> > > Because the qspinlock needs to touch a second cacheline; add a pending > bit and allow a single in-word spinner before we punt to the second > cacheline. I think there is an unwanted scenario on virtual machines: 1) VCPU sets the pending bit and start spinning. 2) Pending VCPU gets

2014-05-07 11:01-0400, Waiman Long: > From: Peter Zijlstra <peterz at infradead.org> > > Because the qspinlock needs to touch a second cacheline; add a pending > bit and allow a single in-word spinner before we punt to the second > cacheline. I think there is an unwanted scenario on virtual machines: 1) VCPU sets the pending bit and start spinning. 2) Pending VCPU gets

Dear r-help, Somewhere in my innocuous function to rotate an object in Cartesian space I've created a monster that completely locks up my computer (requires a hard reset every time). I don't know if this is useful description to anyone - the mouse still responds, but not the keyboard and not windows explorer. The script only does this when the input matrix is large, and so my initial

Hi everyone, I am writing a simple script to read in a data file, search through the data file for an exact character match for a microRNA name, subset those rows, and aggregrate a dataframe with those subselections all in a for loop. This is what I have so far: #READ IN DATA file1 = "C:/Desktop/mirtarget2_predictions.txt" data = read.table(file1, header=FALSE, sep="\t")

Hi Xinhui, 2016-06-28 22:43 GMT+08:00 Pan Xinhui <xinhui.pan at linux.vnet.ibm.com>: > This is to fix some lock holder preemption issues. Some other locks > implementation do a spin loop before acquiring the lock itself. Currently > kernel has an interface of bool vcpu_is_preempted(int cpu). It take the cpu > as parameter and return true if the cpu is preempted. Then kernel can

Hi Xinhui, 2016-06-28 22:43 GMT+08:00 Pan Xinhui <xinhui.pan at linux.vnet.ibm.com>: > This is to fix some lock holder preemption issues. Some other locks > implementation do a spin loop before acquiring the lock itself. Currently > kernel has an interface of bool vcpu_is_preempted(int cpu). It take the cpu > as parameter and return true if the cpu is preempted. Then kernel can

On Mon, Mar 17, 2014 at 01:44:34PM -0400, Waiman Long wrote: > On 03/14/2014 04:30 AM, Peter Zijlstra wrote: > >On Thu, Mar 13, 2014 at 04:05:19PM -0400, Waiman Long wrote: > >>On 03/13/2014 11:15 AM, Peter Zijlstra wrote: > >>>On Wed, Mar 12, 2014 at 02:54:52PM -0400, Waiman Long wrote: > >>>>+static inline void arch_spin_lock(struct qspinlock *lock)

On Mon, Mar 17, 2014 at 01:44:34PM -0400, Waiman Long wrote: > On 03/14/2014 04:30 AM, Peter Zijlstra wrote: > >On Thu, Mar 13, 2014 at 04:05:19PM -0400, Waiman Long wrote: > >>On 03/13/2014 11:15 AM, Peter Zijlstra wrote: > >>>On Wed, Mar 12, 2014 at 02:54:52PM -0400, Waiman Long wrote: > >>>>+static inline void arch_spin_lock(struct qspinlock *lock)

Hi I have used fa() to perform a factor analysis of a psychological battery which is thought to have 11 factors. I can identify which factors the loadings relate to easily enough because I can see which items are loading onto each of the columns in the $loading output. However, how can I identify which items or loadings are being used to create each of the columns in the $scores output? I have

Dear r helpers; I'm interested in reading from and writing to large .xlsx files fairly regularly. (Why, the naysayers may ask - and the answer is basically colleagues and clients who prefer that format). I've tried out the XLConnect and xlsx libraries, but the java implementation they use just takes too much RAM for the files I'm working with. gdata leverages perl and works really

Dear R users, I'm starting to use 'apply' functions rather than for loops in R, and sometimes the output is a bit different than what I want. In this case, the command was tapply(myvector,myindex,cumsum) And the output was something like this: $`SNRL1 Core 120` [1] 2.8546 4.0778 5.2983 6.3863 7.5141 8.5498 9.5839 10.6933 $`SNRL1 Core 230` [1] 7.6810 8.7648 9.8382

Hi, ? I have a relatively big dataset and I want to construct some histograms using the histogram function in lattice. One thing I am interested in is to look at differences between density and percent. I know I can use the hist function but it seems that this function gives sometimes some wrong answers and the density is actually a percent since it is calculated as counts in the bin divided by