cpu

I know,there are some basic function in openMPI implementation for mapping the different processes to different cores of different sockets(if the system have more than one sockets). --bind-to-socket (first come first serve) --bysocket (round-robin,based on load balencing) --npersocket N (assign N processes to each socket) --npersocket N --bysocket (assign N process to each socket , but in a round-robin basis) --bind-to-core (binds one process to each core in a sequential fashion) --bind-to-core --bysocket (assign one process to each core ,but never leave any socket less utilized) --cpus-per

I'm looking for a parameter or configuration in Android Studio / Gradle, that can set the build so it will use all of my CPU cores during build time. i.e. If I have a quad-core CPU and each core is running 8 threads, how can I optimize the build so it will use every resource it could get (parallel of course)? Thank you! in the local.properties file in my project I have org.gradle.daemon=true org.gradle.parallel=true org.gradle.configureondemand=true additionally you can specify org.gradle.parallel.threads which specifies the maximum number of threads to use for parallel execution. it needs org

I know the question is only partially programming-related because the answer I would like to get is originally from these two questions: Why are CPU cores number so low (vs GPU)? and Why aren't we using GPUs instead of CPUs, GPUs only or CPUs only? (I know that GPUs are specialized while CPUs are more for multi-task, etc.). I also know that there are memory (Host vs GPU) limitations along with precision and caches capability. But, In term of hardware comparison, high-end to high-end CPU/GPU comparison GPUs are much much more performant. So my question is: Could we use GPUs instead of CPUs for

Do you know if there is a UNIX command that will tell me what the CPU configuration for my Sun OS UNIX machine is? I am also trying to determine the memory configuration. Is there a UNIX command that will tell me that? There is no standard Unix command, AFAIK. I haven't used Sun OS, but on Linux, you can use this: cat /proc/cpuinfo Sorry that it is Linux, not Sun OS. There is probably something similar though for Sun OS. The nproc command shows the number of processing units available: $ nproc Sample outputs: 4 lscpu gathers CPU architecture information form /proc/cpuinfon in human-read-able

I found this older article how-to-monitor-the-computers-cpu-memory-and-disk-usage-in-java and wated to ask, if there is something new in java 7. I want to get the current CPU-, RAM- and netzwork-Usage of my App periodically. It has to work for linux (mac) and windows. The data must not be extremely detailed, 3 values would be enough (cpu: 10%, Ram 4%, Network 40%). Would be cool if the data is just for the app and not the whole os-system, however this would work, too. Thank's for help answering my own question ;P some code i have written... NetworkData: public class NetworkData { static Map

Does anyone know of a tool that can help me figure out why we are seeing runaway CPU in a managed app? What I am not looking for: Process explorer , it has this awesome feature that lets you see CPU per thread, but you do not get managed stack traces. Also, it requires a fairly proficient user. Windbg + SOS , it could probably be used to figure out what is going on, by grabbing a bunch of dumps. But it is non-trivial to automate and a bit to heavy for this. Fully fledged profiler (like dottrace or redgate), licensing is complex and the tool is an overkill which requires a reasonably heavy

How are GPUs more faster then CPUs? I've read articles that talk about how GPU's are much faster in breaking passwords than CPUs. If thats the case then why can't CPUs be designed in the same way as GPUs to be even in speed? GPUs are designed with one goal in mind: process graphics really fast. Since this is the only concern they have, there have been some specialized optimizations in place that allow for certain calculations to go a LOT faster than they would in a traditional processor. In the case of password cracking (or the molecular dynamic " folding at home " project) what has happened

The x86 CPU begins execution at physical address 0xFFFFFFF0. There at the end of the address space the BIOS ROM is located. The first instruction the CPU executes from the ROM is far jump which causes the CS segment to be reloaded so the next instruction is executed from within the physical region 0x000F0000 - 0x000FFFFF. What causes the ROM to respond on both regions? Is there some special address decoding logic on PC? I found comment in Bochs source code that states that last 128K of BIOS ROM is mapped to 0xE0000 - 0xFFFFF. However I cannot find more info about this. Clearly this is

Running perf stat ls shows this: Performance counter stats for 'ls': 1.388670 task-clock # 0.067 CPUs utilized 2 context-switches # 0.001 M/sec 0 cpu-migrations # 0.000 K/sec 266 page-faults # 0.192 M/sec 3515391 cycles # 2.531 GHz 2096636 stalled-cycles-frontend # 59.64% frontend cycles idle <not supported> stalled-cycles-backend 2927468 instructions # 0.83 insns per cycle # 0.72 stalled cycles per insn 615636 branches # 443.328 M/sec 22172 branch-misses # 3.60% of all branches 0.020657192 seconds time elapsed Why is stalled-cycles-backend shown as "not supported"? What kind of CPU, hardware,