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423 discussions

[eas-dev] CPU invariant usage tracking question

by Vikram Mulukutla

Hi Dietmar, Juri, I'm evaluating EAS RFCv5 on Qualcomm SoCs. I have a question about the CPU invariant utilization tracking in __update_entity_load_avg. I have Juri's arch-support patches for arm64 such that arch_scale_cpu_capacity(cpu) - returns the maximum capacity of the CPU from the energy model Consider a dual-cluster system that has equally capable CPUs in both clusters with each cluster on its own clock source, but with different max OPP levels for each cluster. If both the clusters are at the same OPP level, the lower-max-opp cluster would accumulate utilization_avg at a slower rate. This doesn't seem right; at the same frequency, a task should exhibit equal performance on either cluster since the CPUs are otherwise equally capable. On such a system scale_cpu should be 1024 for both clusters at least in the context of utilization tracking. What do you think? Also, please confirm my understanding with respect to traditional Big.Little - where utilization will accumulate slower on a little CPU due to the CPU invariance factor. I can understand the frequency scaling factor - a task consumes more absolute CPU cycles at a higher frequency; now it would seem that given the same frequency scaling invariance factor (say little CPU's is 500MHz/1000MHz and big CPU is 1000MHz/2000MHz), we still want to have the little CPU accumulate utilization slower because the amount of work done (in IPC terms perhaps) is less on the little CPU? Thanks, Vikram -- Sent by an employee of the Qualcomm Innovation Center, Inc. The Qualcomm Innovation Center, Inc. is a member of the Code Aurora Forum, hosted by The Linux Foundation.

10 years, 2 months

cpufreq/cpuidle integration

by Steve Muckle

Hi Daniel, I've reviewed the draft doc you sent on cpuidle/cpufreq integration. Things have progressed a bit since the initial round of comments in the doc in April, also I thought it'd be good to open the discussion on eas-dev, so I figured I'd try and summarize the main points of the doc here and comment on them. Apologies if I mis-state anything, please correct me if necessary. Some high level thoughts: - I have yet to see a platform where race to idle is a win for power. Because of the exponential shape of the power/perf curves and other issues such as random wakeups interrupting deep sleep, it's always been better in my experience to run at as low an OPP as possible within the performance requirements of the workload. As a general policy at least. - The validation tests mentioned in the doc seemed to be focused uniformly on performance but I think power measurements must be given equal consideration and mention in validating any of these changes. My comments on each of the individual proposals: 1. Managing frequency during idle when blocked load is high. The proposal in this section was to keep the frequency unchanged when entering idle and there is significant blocked load. Blocked load has since been included in the utilization metric which determines frequency. But the policy in sched-freq on what to do when the last task on a runqueue blocks (i.e. the CPU goes idle) is still evolving. Currently the CPU's CFS capacity vote in the frequency domain is passively dropped when that CPU goes idle. It zeros out its capacity vote but does not trigger a recalculation of the frequency domain's new overall required capacity or set a new frequency. This means that the frequency will remain as-is until a different event occurs which forces re-evaluation of the CPU capacity votes in the frequency domain. I won't go into enumerating those events here, suffice it to say I don't think the current policy will work. It's possible for the CPU to stay at an elevated frequency for far too long which would have an unacceptable power impact. I'm also concerned about the way blocked load is included in the utilization metric and potentially keying off that for frequency during periods of idle. It's certainly a more power-hungry policy than what is in place today, plus there's really no way to tune it since it's part of the per-entity load tracking scheme. The interactive governor had a tunable (the slack timer) which controlled how long you could sit idle at a frequency greater than fmin. Schedtune aims to provide a per-task tunable which can boost/scale up the load value for that task calculated by PELT. So that would provide some mechanism to tweak this although it affects the task's contribution at all times rather than only when it is blocked. It also currently only is built to inflate/scale up a task's demand rather than decrease it. 2. Make the idle task in charge of changing the frequency to minimum Proposal is to have idle main loop set frequency to minimum, do idle, and then restore frequency coming out of idle. My thinking is that when we enter idle, somewhere there has to be a decision made as to whether it is worth it to change frequency. The input for that decision could include - the current frequency - the energy data of the target (power consumption at each frequency at the C-state we will be entering) - the expected duration of the idle period - the latency of changing between the two frequencies in question, as well as the latency of C-state entry and exit - performance and latency requirements for the currently blocked tasks The idle task seems to me like a reasonable place for the decision logic, which could then call some not-yet-existent API into sched-freq to ask for the frequency change. Sched class capacity votes would be retained and reinstated on idle exit. The temporary idle frequency would respect any min or max freq constraints that had been previously registered in cpufreq. 3. The expected sleep duration is less than the frequency transition latency Agreed this needs to be considered, a full implementation of the logic I mentioned in #2 would cover this one. 4. Align frequency with task priority I'd agree with MikeT's comment in the doc that changing frequency according to the niceness of the running tasks would be a pretty big change in semantics that we should stay away from. Schedtune may offer a way to negatively bias the performance of a task, although currently it only can be used to inflate a task's performance demands. 5. Consider CPU frequency when evaluating wake-up latency Agreed this should be taken into account. Again would be part of the logic I mentioned in #2 I think, deciding whether we can even change frequencies during idle at all (possibly ruled out due to QoS constraints), and then if it is possible, whether it is worth it from an energy standpoint. 6. Multiple freq governors as input to cpufreq core I'd agree this seems like it'd have value but barring a major shift in priorities, it's going to be a while before this would get focus given the effort required just to get the basic sched-freq feature merged. 7. Increase freq of little cluster when freq of big cluster increases, to make migrations back to little faster. This wouldn't be for everyone IMO due to the power impact. I'm not sure where exactly this policy would go, especially given the current crusade in the community against plugin governors and tunables. Perhaps in the platform-level cpufreq driver. thanks, Steve

10 years, 2 months

alternative name for sched-dvfs

by Steve Muckle

It was pointed out in today's technical syncup that sched-dvfs should rely on its own static key, and that static key should not indicate a dependency on EAS. The static key was named sched_energy_freq. I've renamed/shortened it to sched_freq. I also think we should try and use this name for the feature in general since I believe less people are familiar with the term/acronym DVFS. A git grep -i dvfs suggests it's almost exclusively an ARM term, at least as far as the kernel source goes, with a little usage in sound codecs and GPU. If anyone has a better name or concerns please share... thanks, Steve

10 years, 2 months

Hikey Power Model

by Leo Yan

Hi all, Below are raw power data on Hikey board; with this power data i'd like to create the power model for Hikey. - Measure method: On Hikey board, we cannot measure buck1 which is dedicated for AP subsystem; so turned to measure VDD_4V2 to remove R247 and remount shunt resistor 470mOhm. At a result, the power data includes many other LDO's power data. +--------------+ +-------------+ 4.2v | | Buck1 | | ---- Shunt Resistor --->| PMIC: Hi6553 |------>| SoC: Hi6220 | ^ ^ | | | ACPU | | | +--------------+ +-------------+ |-> Energy Probe <-| - Measured raw data: sys_suspend: AP system suspend state cluster_off: two clusters are powered off cluster_on: 1 cluster is powered on, all cpus are powered off cpu_wfi: 1 cluster is powered on, last cpu enters 'wfi' but other cpus are powered off voltage: voltage for every OPP # OPP sys_suspend cluster_off cluster_on cpu_wfi cpu_on voltage 208 328 347 366 374 435 1.04 432 328 344 374 388 499 1.04 729 331 351 400 409 606 1.09 960 329 353 430 443 750 1.18 1200 331 365 486 506 988 1.33 Hikey Power Model Power [mW] 500 ++--------+-------------+---------+---------++ cluster_off **A*** + + + + D cluster_on ##B### 450 ++.........................................%%+ cpu_wfi $$C$$$ 400 ++.......................................%%.++ cpu p-state %%D%%% | : : : %% | 350 ++...................................%%.....++ | : : :%% | 300 ++...............................%D.........++ 250 ++...........................%%%%...........++ | : : %%% : | 200 ++....................%%D%..................++ | : %%%%% : : | 150 ++...........%%%%...........................++ | %%D%% : : #####B 100 ++.%%%%%.....................#####B#####....++ 50 D%%..............#######B####...............++ A*********A*************A*********A**********A 0 C$$$$$$$$$C$$$$$$$$$$$$$C$$$$$$$$$C$$$$$----++ 208 432 729 960 1200 Frequency [MHz] Hikey Power Efficiency Power Efficiency [mW/MHz] Voltage [v] 0.45 ++-------+----------+--------+-------++ 3 Cluster Power **A*** + + + + + CPU Static Power ##B### 0.4 ++...................................$C CPU Dynamic power $$C$$$ | : : : $$$++ 2.5 Voltage %%D%%% 0.35 ++.............................$$$...++ | : : $$C$ | 0.3 C$$$$$$$$..............$$$$..........++ 2 | C$$$$$$$$$$C$$ : | 0.25 ++...................................++ 1.5 0.2 ++................................%%%%D | : : %%%%D%%%% | 0.15 D%%%%%%%%D%%%%%%%%%%D%%%%............++ 1 | : : : | 0.1 A********.........................****A | A**********A********A**** ++ 0.5 0.05 ++...................................++ B########B##########+ ####B########B 0 ++-------+----------B####----+-------++ 0 208 432 729 960 1200 Frequency [MHz] - Power Model On Hikey: According to before we have discussed for power model, i think below is the prefered power data for Hikey which calculated from raw power date: static struct idle_state idle_states_cluster_a53[] = { { .power = 0 }, { .power = 0 }, }; /* * Use (cluster_on - cluster_off) for every OPP */ static struct capacity_state cap_states_cluster_a53[] = { /* Power per cluster */ { .cap = 178, .power = 19, }, { .cap = 369, .power = 30, }, { .cap = 622, .power = 49, }, { .cap = 819, .power = 77, }, { .cap = 1024, .power = 121, }, }; /* * Use (cpu_wfi - cluster_on) for every OPP, then calculate the * average value for wfi's power data; But we can see actually * the idle state of "WFI" will be impacted by voltage. */ static struct idle_state idle_states_core_a53[] = { { .power = 12 }, { .power = 0 }, }; /* * Use (cpu_on - cluster_off) for every OPP */ static struct capacity_state cap_states_core_a53[] = { /* Power per cpu */ { .cap = 178, .power = 69, }, /* 208MHz */ { .cap = 369, .power = 125, }, /* 432MHz */ { .cap = 622, .power = 206, }, /* 729MHz */ { .cap = 819, .power = 320, }, /* 960MHz */ { .cap = 1024, .power = 502, }, /* 1.2GHz */ }; If have any questions or issues for upper energy model data, please let me know; Appreciate review and comments in advance. - Some other questions Q1: Jian & Dan, voltage for 1.2GHz is quite high, could you help check the voltage table for OPPs, if there have any unexpected value? Q2: Morten, if i want to do more profiling on EAS, do you suggest i should refer which branch now? I think now EASv5 patches are relative old, so want to check if we have better candidate or not. i downloaded the git repo: git://www.linux-arm.org/linux-power.git, branch energy_model_rfc_v5.1; but there have no sched-dvfs related patches. Thanks, Leo Yan

10 years, 2 months

jank measurement in workload automation suite

by Steve Muckle

I see there is a jank measurement capability in workload automation: http://pythonhosted.org/wlauto/_modules/wlauto/instrumentation/fps.html Has anyone used this? Limitations, prerequisites etc? I'd like to use this to measure janks during scrolls. I'll give it a shot but I've never used WA before so I thought I'd check first if anyone had comments/experiences to share. thanks, Steve

10 years, 2 months

Re: [Eas-dev] cpufreq_sched policy for combining requests from multiple sched classes

by Juri Lelli

[+eas-dev] On 19/10/15 09:06, Vincent Guittot wrote: > On 8 October 2015 at 12:28, Morten Rasmussen <morten.rasmussen(a)arm.com> wrote: >> On Thu, Oct 08, 2015 at 10:54:15AM +0200, Vincent Guittot wrote: >>> On 8 October 2015 at 02:59, Steve Muckle <steve.muckle(a)linaro.org> wrote: >>>> At Linaro Connect a couple weeks back there was some sentiment that >>>> taking the max of multiple capacity requests would be the only viable >>>> policy when cpufreq_sched is extended to support multiple sched classes. >>>> But I'm concerned that this is not workable - if CFS is requesting 1GHz >>>> worth of bandwidth on a 2GHz CPU, and DEADLINE is also requesting 1GHz >>>> of bandwidth, we would run the CPU at 1GHz and starve the CFS tasks >>>> indefinitely. >>>> >>>> I'd think there has to be a summing of bandwidth requests from scheduler >>>> class clients. MikeT raised the concern that in such schemes you often >>>> end up with a bunch of extra overhead because everyone adds their own >>>> fudge factor (Mike please correct me if I'm misstating our concern >>>> here). We should be able to control this in the scheduler classes though >>>> and ensure headroom is only added after the requests are combined. >>>> >>>> Thoughts? >>> >>> I have always been in favor of using summing instead of maximum >>> because of the example you mentioned above. IIRC, we also said that >>> the scheduler classes should not request more than needed capacity >>> with regards of schedtune knob position it means that if schedtune is >>> set to max power save, no margin should be taken any scheduler class >>> other than to filter uncertainties in cpu util computation). >>> Regarding RT, it's a bit less straight foward as we much ensure an >>> unknown responsiveness constraint (unlike deadline) so we could easily >>> request the max capacity to be sure to ensure this unknown constraint. >> >> Agreed. I'm in favor with summing the requests, but with a minor twist. >> As Steve points out, and I have discussed it with Juri as well, with >> three sched classes and using the max capacity request we would always >> request too little capacity if more than one class has tasks. Worst case >> we would only request a third of the required capacity. Deadline would >> take it all and leave nothing for RT and CFS. >> >> Summing the requests instead should be fine, but deadline might cause >> us to reserve too much capacity if we have short deadline tasks with a >> tight deadline. For example, a 2ms task (@max capacity) with a 4ms >> deadline and a 10ms period. In this case deadline would have to request >> 50% capacity (at least) to meet its deadline but it only uses 20% >> capacity (scale-invariant). Since deadline has higher priority than RT >> and CFS we can safely assume that they can use the remaining 30% without >> harming the deadline task. We can take this into account if we let >> deadline provide a utilization request (20%) and a minimum capacity >> request (50%). We would sum the utilization request with the utilization >> requests of RT and CFS. If sum < deadline_min_capacity, we would choose >> deadline_min_capacity instead of the sum to determine the capacity. What >> do you think? It might not be worth the trouble as there are plenty of >> other scenarios where we would request too much capacity for deadline >> tasks that can't be fixed. > > I have some concern with a deadline min capacity field. If we take the > example above, the request seems to be a bit too much static, deadline We should be able to get away from having a special "min capacity" field for SCHED_DEADLINE, yes. Requests coming from SCHED_DEADLINE should always concern minimum requirements (too meet deadlines). However, I'll have to play a bit with all this before being 100% sure. > scheduler should request 50% only when the task is running. The 50% > make only sense if the task start ro run at t he beg of the period and > inorder to run the complete 4ms time slot of the deadline. But, the > request might even have to be increased to 100% if for some reasons > like another deadline task or a irq or a disable preemption, the task > starts to run in the last 2ms of the deadline time slot. Once the task > has finished its running period, the request should go back to 0. Capacity requests of SCHED_DEADLINE are supposed to be more stable, I think it's built in how the thing works. There is a particular instant of time, relative to each period, called "0-lag" point after which, if the task is not running, we are sure (by construction) that we can safely release a capacity request relative to a certain task. It is about theory behind SCHED_DEADLINE implementation, but we should be able to use this information to ask for the right capacity. As said above, I'll need more time to think this through and experiment with it. > I agree that reality is a bit more complex because we don't have > "immediate" change of the freq/capacity so we must take into account > the time needed to change the capacity of the CPU but we should try to > make the requirement as close as possible to the reality. > > Using a min value just mean that we are not able to evaluate the > current capacity requirement of the deadline class and that we will > just steal the capacity requested by other class which is not a good > solution IMHO > > Juri, what will be the granularity of the computation of the bandwidth > of the patches you are going to send ? > I'm not sure I get what you mean by granularity here. The patches will add a 0..100% bandwidth number, that we'll have to normalize to 0..1024, for SCHED_DEADLINE tasks currently active. Were you expecting something else? Thanks, - Juri >> >> As Vincent points out, RT is a bit tricky. AFAIK, it doesn't have any >> utilization tracking at all. I think we have to fix that somehow. >> Regarding responsiveness, RT doesn't provide any guarantees by design >> (in the same way deadline does) so we shouldn't be violating any >> policies by slowing RT tasks down. The users might not be happy though >> so we could favor performance for RT tasks to avoid breaking legacy >> software and ask users that care about energy to migrate to deadline >> where we actually know the performance constraints of the tasks. >

10 years, 3 months

sched-dvfs response

by Steve Muckle

(changing subject, +eas-dev) On 10/19/2015 12:34 AM, Vincent Guittot wrote: >> FWIW as I tested with the browser-short rt-app workload I noticed the >> > rt-app calibration causes the CPU frequency to oscillate between fmin >> > and fmax. > > It's a normal behavior. During calibration step, we try to force the > governor to use the max OPP to evaluate the minimum ns per loop. We > have 2 sequence: The 1st one just loop on the calibration loop until > the ns per loop value reach a stable value. The second one alternate > run and sleep phase to prevent the trig of thermal mitigation which > can be triggered during 1 sequence Understood that rt-app would want to hit fmax for calibration, but the oscillation directly between fmin and fmax, and the timing of the transitions, seem concerning. I've copied a trace of this to http://smuckle.net/calibrate.txt . As an example at ~41.808: - rt-app starts executing and executes continuously at fmin for about 85ms. That's a long time IMO to underserve a continuously running workload before changing frequency. - The frequency then goes directly to fmax and rt-app runs for 3ms more. We should be going to an intermediate frequency first. This has come up on lkml and I think everyone wants that change but I'm including it here for completeness. - The system then sits idle at fmax for almost 200ms since nothing is decaying the usage on the idle CPU. This also came up on lkml though it's probably worth mentioning that it's so easy to reproduce with rt-app. Just curious, is rt-app doing a fixed amount of work in these bursts of execution? Or is it watching cpufreq nodes so that it knows when the CPU frequency has hit fmax, so it can then do calibration work?

10 years, 3 months

sched-dvfs response

by Steve Muckle

10 years, 3 months

Re: [Eas-dev] cpufreq_sched policy for combining requests from multiple sched classes

by Steve Muckle

(adding eas-dev) On 10/09/2015 01:41 AM, Patrick Bellasi wrote: >>> The users might not be happy though >>> > > so we could favor performance for RT tasks to avoid breaking legacy >>> > > software and ask users that care about energy to migrate to deadline >>> > > where we actually know the performance constraints of the tasks. >> > >> > Given that at the moment RT tasks are treated no differently than CFS >> > tasks w.r.t. cpu frequency I'd expect that we could get away without any >> > sort of perf bias for RT bandwidth, which I think would be cost >> > prohibitive for power. > > Are you specifically considering instantaneous power? > Because from a power standpoint I cannot see any difference for > example w.r.t having a batch CFS task. > > From an energy standpoint instead, do not you think that a > "race-to-idle" policy could be better at least for RT-BATCH tasks? Sorry I should have said energy rather than power... >From my experience race to idle has never panned out as an energy-efficient strategy, presumably due to the nonlinear increase in power cost as performance increases. Because of this I think a policy of increasing the OPP when RT tasks are runnable will cause a net increase in energy consumption, which need not be incurred since RT tasks do not receive this preferential OPP treatment today.

10 years, 3 months

Re: [Eas-dev] cpufreq_sched policy for combining requests from multiple sched classes

by Patrick Bellasi

[+eas-dev] On Mon, Oct 12, 2015 at 02:16:42AM -0700, Michael Turquette wrote: > Quoting Patrick Bellasi (2015-10-12 01:51:29) > > On Fri, Oct 09, 2015 at 11:58:22AM +0100, Michael Turquette wrote: > > > Steve, > > > > > > On Thu, Oct 8, 2015 at 1:59 AM, Steve Muckle <steve.muckle(a)linaro.org> wrote: > > > > At Linaro Connect a couple weeks back there was some sentiment that > > > > taking the max of multiple capacity requests would be the only viable > > > > policy when cpufreq_sched is extended to support multiple sched classes. > > > > But I'm concerned that this is not workable - if CFS is requesting 1GHz > > > > worth of bandwidth on a 2GHz CPU, and DEADLINE is also requesting 1GHz > > > > of bandwidth, we would run the CPU at 1GHz and starve the CFS tasks > > > > indefinitely. > > > > > > For the scheduler I think that summing makes sense. For peripheral > > > devices it places a much higher burden on the system integrator to > > > figure out how much compute is needed to achieve a specific use case. > > > > Are we still thinking about exposing an interface to device drivers? > > > > With sched-DVFS we are able to select the CPU's OPP based on real > > (expected) task demand. Thus, I expect constraints from device drivers > > being useful only in these use cases: > > > > a) the tasks activated by the driver are not "big enough" to > > generate an OPP switch, but still we want to race-to-idle their > > execution > > e.g. a light-weight control thread for an external accelerator, > > which could benefit from running on an higher OPP to reduce > > overall processing latencies > > b) we do not know which tasks require a boost in performances > > e.g. something like the "boost pulse" exposed by the Interactive > > governor, where the input subsystem is considered to trigger > > latency sensitive operations and thus the system deserves to be > > globally boosted > > > > There are other classes of use-cases? > > > > If these are the only use-cases we are thinking about, I'm wondering > > if we could not try to cover all them via SchedTune and the boost > > value it exposes. > > > > The use-case a) is already covered by the first implementation of > > SchedTune. If we know which task should be boosted, technically we > > could expose the SchedTune interface to drivers to allow them to boosts > > specific tasks. > > It sounds like could work for me. > > My concerns are bandwidth-related use cases. I've observed high speed > MMC controllers, WiFi chips, GPUs and other devices whose CPU tasks were > "small", but their performance was adversely affected when the CPU runs > at a slower rate. This is true even on relatively quiet system. I see your point, I'm wondering if most of these use-case should not be better implemented using DEADLINE instead of FIFO/RR. For these cases the problem will be solved once DL is properly integrated with sched-DVFS. For the remaining use-case where we still want (or we are "limited") to use FIFO/RT, I'm more on the idea that a race-to-idle strategy could just work. > Tasks running on the CPU can be viewed as latencies from the perspective > of a peripheral/IO device. TI and many other vendors have implemented > out-of-tree solutions to hold a CPU at a minimum OPP/frequency when > these drivers are running (usually with terrible hacks, but in some > cases nicely wrapped up in runtime_pm_{get,put} callbacks). I know very well these scenarios, in the past I experimented a lot with x86 machines running OpenCL workloads offloaded on GPGPUs. Quite frequently the bottleneck was the control thread running on the CPU, at the point that by co-scheduling two apps on the same GPU you can get better performance (for both apps) than just running one app at the time. This calls out for a kind of coordination, between workloads running on the CPU and the accelerator, on the frequency selection. But if you consider the specific GPGPU use-case, many time the source of knowledge about the required bandwidth is not kernel-space but instead in user-space. The OpenCL run-time, as well as many other run-time, could provide valuable input to the scheduler about these dependencies. > Does this fit with your model of how schedtune is supposed to work? I I think it's worth to have a try... provided that, in case of promising results, we are eventually satisfied to replace the CPUFreq specific API exposed to drivers with a more generic interface exposed to both kernel- and user-space. If instead we end up with two different APIs to achieve the same goal this will be just confusing. > have not looked at that stuff at all... are start_the_work() and > stop_the_work(() critical-section functions exposed to drivers? Mmm... I cannot get that question. Which functions/critical-sections are you referring to? > Regards, > Mike Cheers Patrick > > > > Regarding the second use-case b), this is a feature we try to address > > using the global boost value. Right now the only consumer of that > > global boost value is the FAIR scheduling class. However, it should be > > quite easy to extend it with the integration of SchedDVFS into other > > scheduling classes. > > > > > However, I might be the only one that is concerned with use case right > > > now. > > > > > > > > > > > I'd think there has to be a summing of bandwidth requests from scheduler > > > > class clients. MikeT raised the concern that in such schemes you often > > > > end up with a bunch of extra overhead because everyone adds their own > > > > fudge factor (Mike please correct me if I'm misstating our concern > > > > here). > > > > > > To be clear, I raised that point because I've actually seen that in > > > the past when TI implemented out-of-tree cpu frequency constraint > > > systems. I'm not being hypothetical :-) > > > > That's the point, SchedTune aims at becoming a sort of (hopefully) > > official solution to setup "frequency constraints". > > > > > > We should be able to control this in the scheduler classes though > > > > and ensure headroom is only added after the requests are combined. > > > > > > Sounds promising. Everyone else in this thread supports aggregation > > > (or summing) over maximum value, and I definitely won't argue the > > > point on the list unless it presents a real problem in testing. > > > > > > Regards, > > > Mike > > > > > > > > > > > Thoughts? > > > > > > > > > > > > -- > > > Michael Turquette > > > CEO > > > BayLibre - At the Heart of Embedded Linux > > > http://baylibre.com/ > > > > Cheers Patrick > > > > -- > > #include <best/regards.h> > > > > Patrick Bellasi > > > -- #include <best/regards.h> Patrick Bellasi

10 years, 3 months

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