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• MPI Cluster Debugger launch integration in VS2010

  Let's assume that you have all the HPC bits installed and that you have existing MPI code (or you created a "Hello World" project using the MPI project template). Of course, you create a single MPI application and at runtime it will correspond to multiple processes (of the same app) launched on multiple nodes (i.e. machines) on the cluster. So how do you debug such a situation by simply hitting the familiar "F5" keystroke (i.e. Debug - Start Debugging)?WATCH IT INSTEAD OF READING ABOUT ITIf you can't bear to read through all the details below, just watch this 19-minute screencast explaining this VS2010 feature. Alternatively, or even additionally, keep on reading.REQUIREMENTWhen you debug an MPI application, you would want the copying of resources from your client machine (where Visual Studio is installed) to each compute node (where Windows HPC Server is installed) to take place automatically for you. 'Resources' in the previous sentence includes your application binary, plus any binary or data dependencies it may have, plus PDBs if needed, plus the debug CRT of the correct bitness, plus msvsmon for remote debugging to work. You would also want, after copying is complete, to have your app and msvsmon launched and attached so that you can hit breakpoints back in Visual Studio on your client machine. All these thing that you would want are delivered in VS2010.STEPS TO F51. In your MPI project where you have placed a breakpoint go to Project Properties - Configuration Properties - Debugging. Ensure the "Debugger to launch" combo box value is set to MPI Cluster Debugger.2. There are a whole bunch of properties here and typically you can ignore all of them except one: Run Environment. By default it is set to run 1 process on your local machine and if you change the number after that to, for example, 4 it will launch 4 processes of your app on your local machine.You want this to run on your cluster though, so go to the dropdown arrow at the end of the Run Environment cell and open it to expose the "Edit Hpc node" menu which opens the Node Selector dialog:In this dialog you can enter (or pick from a list) the cluster head node name and then the number of processes you want to execute on the cluster and then hit OK and… you are done.3. Press F5 and watch your breakpoint get hit (after giving it some time for copying, remote execution, attachment and symbol resolution to take place).GOING DEEPERIn the MPI Cluster Debugger project properties above, you can see many additional properties to the Run Environment. They are all optional, but you may want to understand them in order to fine tune your cluster debugging. Read all about each one of these on the MSDN page Configuration Properties for the MPI Cluster Debugger.In the Node Selector dialog above you can see more options than just the Head Node name and Number of Process to run. They should be self-explanatory but I also cover them in depth in my screencast showing you an example of why you would choose to schedule processes per core versus per node. You can also read about these options on MSDN as part of the page How to: Configure and Launch the MPI Cluster Debugger.To read through an example that touches on MPI project creation, project properties, node selector, and also usage of MPI with OpenMP plus MPI with PPL, read the MSDN page Walkthrough: Launching the MPI Cluster Debugger in Visual Studio 2010.Happy MPI debugging! Comments about this post welcome at the original blog.

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• MPI Cluster Debugger launch integration in VS2010

  Let's assume that you have all the HPC bits installed and that you have existing MPI code (or you created a "Hello World" project using the MPI project template). Of course, you create a single MPI application and at runtime it will correspond to multiple processes (of the same app) launched on multiple nodes (i.e. machines) on the cluster. So how do you debug such a situation by simply hitting the familiar "F5" keystroke (i.e. Debug - Start Debugging)?WATCH IT INSTEAD OF READING ABOUT ITIf you can't bear to read through all the details below, just watch this 19-minute screencast explaining this VS2010 feature. Alternatively, or even additionally, keep on reading.REQUIREMENTWhen you debug an MPI application, you would want the copying of resources from your client machine (where Visual Studio is installed) to each compute node (where Windows HPC Server is installed) to take place automatically for you. 'Resources' in the previous sentence includes your application binary, plus any binary or data dependencies it may have, plus PDBs if needed, plus the debug CRT of the correct bitness, plus msvsmon for remote debugging to work. You would also want, after copying is complete, to have your app and msvsmon launched and attached so that you can hit breakpoints back in Visual Studio on your client machine. All these thing that you would want are delivered in VS2010.STEPS TO F51. In your MPI project where you have placed a breakpoint go to Project Properties - Configuration Properties - Debugging. Ensure the "Debugger to launch" combo box value is set to MPI Cluster Debugger.2. There are a whole bunch of properties here and typically you can ignore all of them except one: Run Environment. By default it is set to run 1 process on your local machine and if you change the number after that to, for example, 4 it will launch 4 processes of your app on your local machine.You want this to run on your cluster though, so go to the dropdown arrow at the end of the Run Environment cell and open it to expose the "Edit Hpc node" menu which opens the Node Selector dialog:In this dialog you can enter (or pick from a list) the cluster head node name and then the number of processes you want to execute on the cluster and then hit OK and… you are done.3. Press F5 and watch your breakpoint get hit (after giving it some time for copying, remote execution, attachment and symbol resolution to take place).GOING DEEPERIn the MPI Cluster Debugger project properties above, you can see many additional properties to the Run Environment. They are all optional, but you may want to understand them in order to fine tune your cluster debugging. Read all about each one of these on the MSDN page Configuration Properties for the MPI Cluster Debugger.In the Node Selector dialog above you can see more options than just the Head Node name and Number of Process to run. They should be self-explanatory but I also cover them in depth in my screencast showing you an example of why you would choose to schedule processes per core versus per node. You can also read about these options on MSDN as part of the page How to: Configure and Launch the MPI Cluster Debugger.To read through an example that touches on MPI project creation, project properties, node selector, and also usage of MPI with OpenMP plus MPI with PPL, read the MSDN page Walkthrough: Launching the MPI Cluster Debugger in Visual Studio 2010.Happy MPI debugging! Comments about this post welcome at the original blog.

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• smartOS HPC config suggestion

  - by Andrew B.

  I'm configuring a brand new HPC server and am interested in using SmartOS because of it's virtualization control and zfs features. Does this configuration make sense for a SmartOS HPC, or would you recommend an alternative? System Specs: 2x 8-core xeon 384 GB RAM 30 TB HDs with 2x512GB SSDs Uses: - zfs for serving data to different vms, and over the network; 1 SSD for L2ARC and 1 for ZIL - typically 1-2 ubuntu instances running R and custom C/C++ code My biggest concerns as a newbie to SmartOS and ZFS are: (1) will I get near-metal performance from ubuntu running on SmartOS if it is the only active vm? (2) how do I serve data from the global zfs pool to the containers and other network devices?

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• Slides and code for MPI Cluster Debugger

  I've blogged before about the MPI Cluster Debugger in VS2010 that facilitates launching the application on the cluster and attaching the debugger (btw, a shorter version of the screencast I link to there, is here).There have been requests for the code I use in the screencast, so please find a ZIP with that code.There have also been requests for a PowerPoint deck to use when showing this feature to others. Feel free to download some slides I threw together the other day. Comments about this post welcome at the original blog.

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• Are you at Super Computing 10?

  - by Daniel Moth

  Like last year, I was going to attend SC this year, but other events are unfortunately keeping me here in Seattle next week. If you are going to be in New Orleans, have fun and be sure not to miss out on the following two opportunities. MPI Debugging UX Study Throughout the week, my team is conducting 90-minute studies on debugging MPI applications within Visual Studio. In exchange for your feedback (under NDA) you will receive a Microsoft Gratuity (and the knowledge that you are impacting the development of Visual Studio). If you are interested, sign up at the Microsoft Information Desk in the Exhibitor Hall during exhibit hours. Outside of exhibit hours, send email to [email protected]. If you took part in the GPGPU study, this is very similar except it is for MPI. Microsoft High Performance Computing Summit On Monday 15th, the Microsoft annual user group meeting takes place. Shuttle transportation and lunch is provided. For full details of this event and to register, please visit the official event page. Comments about this post welcome at the original blog.

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• BCP task hangs while executing

  - by user350374

  Hey guys, We have a HPC node that runs some of our tasks in it. I have a task in my .net project that kicks the bcp utility on the HPC node and the output of the query that I have runs into 9 Mb. When the HPC node runs this task the output of the query is dumped into a file and then after it dumps around 5mb of data it suddenly stops dumping any more data and this happens all the time. (Please note this isnt any data issue as its not crashing on a particular row every time). this may or may not be of significance but I dump the data into a different server which has adequate permissions set. I have run the command with the same query directly on the hpc node and on other comps and it gives the right output. I'm running the bcp command as follows: var processInfo = new ProcessStartInfo("bcp.exe", argument) { RedirectStandardOutput = true, RedirectStandardError = true, CreateNoWindow = true, UseShellExecute = false }; var proc = new Process { StartInfo = processInfo, EnableRaisingEvents = true }; proc.Exited += new EventHandler(bcp_log); proc.Start(); proc.WaitForExit(); So my code actually waits for each bcp task to run before it goes ahead as I call it multiple times. FYI to remind you again it only fails when my o/p exceeds a certain no of bytes in this case approx 5mb. Any help is much appreciated.

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• Fin de LINQ to HPC : Microsoft abandonne sa plateforme de traitement de gros volumes de données pour son concurrent Hadoop

  Fin de LINQ to HPC : Microsoft abandonne sa plateforme de traitement de gros volumes de données pour se concentrer sur le support de son concurrent Hadoop Microsoft abandonne LINQ to HPC (High performance computing), nom de code Dryad, sa propre plateforme haute performance pour des calculs distribués et la gestion intensive des données, pour se concentrer sur le support de son concurrent Hadoop dans ses produits. L'éditeur avait récemment manifesté son intérêt pour la plateforme Java de stockage et de traitement par lot de très grandes quantités de données (Big Data) Hadoop, en publiant notamment deux connecteurs

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• Rocksclusters reinstalling nodes partitioning error.

  - by Antiarchitect

  I have a HPC based on rocksclusters So when I've added new roll (torque) I send a kickstart command to all nodes to reinstall them. But after loading X installer on nodes all of them showed me an error: Could not allocate requested partitions: Partitioning failed: Could not allocate partitions as primary partitions. Cannot allocate partition for /boot

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• NFS denies mount, even though the client is listed in exports

  - by ajdecon

  We have a couple of servers (part of an HPC cluster) in which we're currently seeing some NFS behavior which is not making sense to me. node1 exports its /lscratch directory via NFS to node2, mounted at /scratch/node1. node2 also exports its own lscratch, which is correspondingly mounted at /scratch/node2 on node1. Unfortunately, whenever I attempt to mount either NFS export on the opposite node, I get the following error: mount: node1:/lscratch failed, reason given by server: Permission denied This despite the fact that I have included first the IP range (10.6.0.0) and then the specific IPs (10.6.7.1, 10.6.7.2) in /etc/exports. Any suggestions? Edit to remove ambiguity: I've made sure that exports only contains either the range, or the specific IPs, not both at the same time.

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• Windows Azure Recipe: High Performance Computing

  - by Clint Edmonson

  One of the most attractive ways to use a cloud platform is for parallel processing. Commonly known as high-performance computing (HPC), this approach relies on executing code on many machines at the same time. On Windows Azure, this means running many role instances simultaneously, all working in parallel to solve some problem. Doing this requires some way to schedule applications, which means distributing their work across these instances. To allow this, Windows Azure provides the HPC Scheduler. This service can work with HPC applications built to use the industry-standard Message Passing Interface (MPI). Software that does finite element analysis, such as car crash simulations, is one example of this type of application, and there are many others. The HPC Scheduler can also be used with so-called embarrassingly parallel applications, such as Monte Carlo simulations. Whatever problem is addressed, the value this component provides is the same: It handles the complex problem of scheduling parallel computing work across many Windows Azure worker role instances. Drivers Elastic compute and storage resources Cost avoidance Solution Here’s a sketch of a solution using our Windows Azure HPC SDK: Ingredients Web Role – this hosts a HPC scheduler web portal to allow web based job submission and management. It also exposes an HTTP web service API to allow other tools (including Visual Studio) to post jobs as well. Worker Role – typically multiple worker roles are enlisted, including at least one head node that schedules jobs to be run among the remaining compute nodes. Database – stores state information about the job queue and resource configuration for the solution. Blobs, Tables, Queues, Caching (optional) – many parallel algorithms persist intermediate and/or permanent data as a result of their processing. These fast, highly reliable, parallelizable storage options are all available to all the jobs being processed. Training Here is a link to online Windows Azure training labs where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure HPC Scheduler (3 labs)  The Windows Azure HPC Scheduler includes modules and features that enable you to launch and manage high-performance computing (HPC) applications and other parallel workloads within a Windows Azure service. The scheduler supports parallel computational tasks such as parametric sweeps, Message Passing Interface (MPI) processes, and service-oriented architecture (SOA) requests across your computing resources in Windows Azure. With the Windows Azure HPC Scheduler SDK, developers can create Windows Azure deployments that support scalable, compute-intensive, parallel applications. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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• How to get the best LINPACK result and conquer the Top500?

  - by knweiss

  Given a large Linux HPC cluster with hundreds/thousands of nodes. What are your best practices to get the best possible LINPACK benchmark (HPL) result to submit for the Top500 supercomputer list? To give you an idea what kind of answers I would appreciate here are some sub-questions (with links): How to you tune the parameters (N, NB, P, Q, memory-alignment, etc) for the HPL.dat file (without spending too much time trying each possible permutation - esp with large problem sizes N)? Are there any Top500 submission rules to be aware of? What is allowed, what isn't? Which MPI product, which version? Does it make a difference? Any special host order in your MPI machine file? Do you use CPU pinning? How to you configure your interconnect? Which interconnect? Which BLAS package do you use for which CPU model? (Intel MKL, AMD ACML, GotoBLAS2, etc.) How do you prepare for the big run (on all nodes)? Start with small runs on a subset of nodes and then scale up? Is it really necessary to run LINPACK with a big run on all of the nodes (or is extrapolation allowed)? How do you optimize for the latest Intel/AMD CPUs? Hyperthreading? NUMA? Is it worth it to recompile the software stack or do you use precompiled binaries? Which settings? Which compiler optimizations, which compiler? (What about profile-based compilation?) How to get the best result given only a limited amount of time to do the benchmark run? (You can block a huge cluster forever) How do you prepare the individual nodes (stopping system daemons, freeing memory, etc)? How do you deal with hardware faults (ruining a huge run)? Are there any must-read documents or websites about this topic? E.g. I would love to hear about some background stories of some of the current Top500 systems and how they did their LINPACK benchmark. I deliberately don't want to mention concrete hardware details or discuss hardware recommendations because I don't want to limit the answers. However, feel free to mention hints e.g. for specific CPU models.

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• Torque and maui node status

  - by Lafada

  I am new for torque and maui. I was checking for node state to looking for which nodes are free and which nodes are in use. For torque one command is pbsnodes. Which gives status and other info related to node. When I was checking for maui then I found command diagnose -n which also shows status of the node. I was wondering between these 2 status. Both are giving different status for the same situation. When I do man pbsnodes I got the possible states for node "free", "offline", "down", "reserve", "job-exclusive", "job-sharing", "busy", "time-shared", or "state-unknown" But this type of different state I cant find for diagnose -n. How pbsnodes and diagnose -n get the status for node. Is there any database like xCAT use for torque or maui? Thx in advance for your valuable time.

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• What applications can be used in a Red Hat/CentOS cluster?

  - by Sandra

  Hi, When I look at the Red Hat cluster manuals 1 2, they only explain how to install it but not what applications can use it. I am new to clusters, so I don't know these things =) Let's say I want to 3 node high performance cluster; What applications would work with it? Also, how does an application talk to the cluster? Does the application need to have been written to support clusters? Sandra

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• Why are most supercomputer using linux?

  - by sdc

  Referring to this BBC Article: Supercomputing superpowers Almost all the supercomputers are using Linux as operating system. Why is Linux so popular?

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• Sharing storage on Linux and Solaris

  - by devlearn

  I'm looking for a solution in order to share a san mounted volume between several hosts running on Linux (RHEL) and/or Solaris (Sparc). Note that I basically need to share a set of directories containing large binary files that are accessed in random R/W mode. I have the following reqs : keep the data on the SAN suitable i/o performances as the software is pretty demanding on IOPS stick to a shared file system as I can't afford a cluster fs (lack of MDS/OSS infrastructure) compression could be really usefull For now I've found only the following candidates : GFS2 , supports Linux only, no compression VxFS , supports Linux and Solaris, compression supported So if you have some suggestions for this list, I'll really welcome them. Thanks in advance,

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• Which is the fastest way to move 1Petabyte from one storage to a new one?

  - by marc.riera

  First of all, thanks for reading, and sorry for asking something related to my job. I understand that this is something that I should solve by myself but as you will see its something a bit difficult. A small description: Now Storage = 1PB using DDN S2A9900 storage for the OSTs, 4 OSS , 10 GigE network. (lustre 1.6) 100 compute nodes with 2x Infiniband 1 infiniband switch with 36 ports After Storage = Previous storage + another 1PB using DDN S2A 990 or LSI E5400 (still to decide) (lustre 2.0) 8 OSS , 10GigE network 100 compute nodes with 2x Infiniband Previous experience: transfered 120 TB in less than 3 days using following command: tar -C /old --record-size 2048 -b 2048 -cf - dir | tar -C /new --record-size 2048 -b 2048 -xvf - 2>&1 | tee /tmp/dir.log So , big problem here, using big mathematical equations I conclude that we are going to need 1 month to transfer the data from one side to the new one. During this time the researchers will need to step back, and I'm personally not happy with this. I'm telling you that we have infiniband connections because I think that may be there is a chance to use it to transfer the data using 18 compute nodes (18 * 2 IB = 36 ports) to transfer the data from one storage to the other. I'm trying to figure out if the IB switch will handle all the traffic but in case it just burn up will go faster than using 10GigE. Also, having lustre 1.6 and 2.0 agents on same server works quite well, with this there is no need to go by 1.8 to upgrade the metadata servers with two steps. Any ideas? Many thanks Note 1: Zoredache, we can divide it in two blocks (A)600Tb and (B)400Tb. The idea is to move (A) to new storage which is lustre2.0 formated, then format where (A) was with lustre2.0 and move (B) to this lustre2.0 block and extend with the space where (B) was. This way we will end with (A) and (B) on separate filesystems, with 1PB each.

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• Makefile fails to install file correctly, installing HPL

  - by zarose

  I started installing HPL a while ago, and had a related question. I've been following along with this guide from Intel. I figure this warrants a whole new one. When I try to make the archive, the output seems fine until the end, where it gives an error. make[2]: Entering directory `/hpl-2.0/src/auxil/intel64' Makefile:47: Make.inc: No such file or directory make[2]: *** No rule to make target `Make.inc'. Stop. make[2]: Leaving directory `/hpl-2.0/src/auxil/intel64' make[1]: *** [build_src] Error 2 make[1]: Leaving directory `/hpl-2.0' make: *** [build] Error 2 Going to the directory /hpl-2.0/src/auxil/intel64 shows a file, "Make.inc", but it's highlighted red, and the white text blinks. Is there a way to manually make that file? What do I need to do to get the makefile to do this for me?

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• How to allow users to transfer files to other users on linux

  - by Jon Bringhurst

  We have an environment of a few thousand users running applications on about 40 clusters ranging in size from 20 compute nodes to 98,000 compute nodes. Users on these systems generate massive files (sometimes 1PB) controlled by traditional unix permissions (ACLs usually aren't available or practical due to the specialized nature of the filesystem). We currently have a program called "give", which is a suid-root program that allows a user to "give" a file to another user when group permissions are insufficient. So, a user would type something like the following to give a file to another user: > give username-to-give-to filename-to-give ... The receiving user can then use a command called "take" (part of the give program) to receive the file: > take filename-to-receive The permissions of the file are then effectively transferred over to the receiving user. This program has been around for years and we'd like to revisit things from a security and functional point of view. Our current plan of action is to remove the bit rot in our current implementation of "give" and package it up as an open source app before we redeploy it into production. Does anyone have another method they use to transfer extremely large files between users when only traditional unix permissions are available?

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• how Infiniband speed is related to processor speed

  - by user223231

  I have two exactly the same servers and very curious how to make Infiniband interconnection between them? Both servers' basic specs are: CPU: 32GHz = 2x Intel Xeon X5650, 6 core, 2.66GHz and RAM: 24GB per server (edited) How determine what speed of Infiniband will be enough for perfect interconnection? SDR, DDR, QDR or FDR? My logic is 32Ghz = 32Gb/s and 40Gb one is enough, am I right or it is not that simple?

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• Windows RPC vs XML-RPC

  - by Y.Z

  Is there any benchmark about encoding/decoding certain common typed data in Microsoft RPC NDR engine (DCE 1.1) in comparison with that in XML-RPC-C/C++ in the de-facto C/C++ implementation in XML-RPC? Actually I have to choose between Windows RPC and XML-RPC-C/C++ to implement my own common object infrastructure for High Performance Computing on Windows. Any recommandation about which with regard to their performance? Thank you. Best Regards, Yang

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• Can the STREAM and GUPS (single CPU) benchmark use non-local memory in NUMA machine

  - by osgx

  Hello I want to run some tests from HPCC, STREAM and GUPS. They will test memory bandwidth, latency, and throughput (in term of random accesses). Can I start Single CPU test STREAM or Single CPU GUPS on NUMA node with memory interleaving enabled? (Is it allowed by the rules of HPCC - High Performance Computing Challenge?) Usage of non-local memory can increase GUPS results, because it will increase 2- or 4- fold the number of memory banks, available for random accesses. (GUPS typically limited by nonideal memory-subsystem and by slow memory bank opening/closing. With more banks it can do update to one bank, while the other banks are opening/closing.) Thanks. UPDATE: (you may nor reorder the memory accesses that the program makes). But can compiler reorder loops nesting? E.g. hpcc/RandomAccess.c /* Perform updates to main table. The scalar equivalent is: * * u64Int ran; * ran = 1; * for (i=0; i<NUPDATE; i++) { * ran = (ran << 1) ^ (((s64Int) ran < 0) ? POLY : 0); * table[ran & (TableSize-1)] ^= stable[ran >> (64-LSTSIZE)]; * } */ for (j=0; j<128; j++) ran[j] = starts ((NUPDATE/128) * j); for (i=0; i<NUPDATE/128; i++) { /* #pragma ivdep */ for (j=0; j<128; j++) { ran[j] = (ran[j] << 1) ^ ((s64Int) ran[j] < 0 ? POLY : 0); Table[ran[j] & (TableSize-1)] ^= stable[ran[j] >> (64-LSTSIZE)]; } } The main loop here is for (i=0; i<NUPDATE/128; i++) { and the nested loop is for (j=0; j<128; j++) {. Using 'loop interchange' optimization, compiler can convert this code to for (j=0; j<128; j++) { for (i=0; i<NUPDATE/128; i++) { ran[j] = (ran[j] << 1) ^ ((s64Int) ran[j] < 0 ? POLY : 0); Table[ran[j] & (TableSize-1)] ^= stable[ran[j] >> (64-LSTSIZE)]; } } It can be done because this loop nest is perfect loop nest. Is such optimization prohibited by rules of HPCC?

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• PVM terminates after Adding Host

  - by Tyug

  On Ubuntu 9.10 using PVM 3.4.5-12 (the PVM package when you use apt-get) The program terminates after adding a host. laptop> pvm pvm> add bowtie-slave add bowtie-slave terminated laptop> Current Configuration only $PVM_RSH = bin/usr/ssh I can ssh perfectly fine into the slave without a password, and run commands on it. Any ideas? Thanks in advance! Here are the sample logs: Laptop log [t80040000] 02/11 10:23:32 laptop (127.0.1.1:xxxxx) LINUX 3.4.5 [t80040000] 02/11 10:23:32 ready Thu Feb 11 10:23:32 2010 [t80040000] 02/11 10:23:32 netoutput() sendto: errno=22 [t80040000] 02/11 10:23:32 em=0x2c24f0 [t80040000] 02/11 10:23:32 [49/à][6e/à][76/à][61/à][6c/à][69/à][64/à][20/à][61/à][72/à] [t80040000] 02/11 10:23:32 netoutput() sendto: Invalid argument [t80040000] 02/11 10:23:32 pvmbailout(0) bowtie-log [t80080000] 02/11 10:23:25 bowtie-slave (xxx.x.x.xxx:xxxxx) LINUX64 3.4.5 [t80080000] 02/11 10:23:25 ready Thu Feb 11 10:23:25 2010 [t80080000] 02/11 10:28:26 work() run = STARTUP, timed out waiting for master [t80080000] 02/11 10:28:26 pvmbailout(0)

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• MPICH vs OpenMPI

  - by lava

  Can someone elaborate between the OpenMPI and MPICH implementations of MPI ? Which of the two is a better implementation ?

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• Condor job using DAG with some jobs needing to run the same host

  - by gurney alex

  I have a computation task which is split in several individual program executions, with dependencies. I'm using Condor 7 as task scheduler (with the Vanilla Universe, due do constraints on the programs beyond my reach, so no checkpointing is involved), so DAG looks like a natural solution. However some of the programs need to run on the same host. I could not find a reference on how to do this in the Condor manuals. Example DAG file: JOB A A.condor JOB B B.condor JOB C C.condor JOB D D.condor PARENT A CHILD B C PARENT B C CHILD D I need to express that B and D need to be run on the same computer node, without breaking the parallel execution of B and C. Thanks for your help.

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• Using many mutex locks

  - by hanno

  I have a large tree structure on which several threads are working at the same time. Ideally, I would like to have an individual mutex lock for each cell. I looked at the definition of pthread_mutex_t in bits/pthreadtypes.h and it is fairly short, so the memory usage should not be an issue in my case. However, is there any performance penalty when using many (let's say a few thousand) different pthread_mutex_ts for only 8 threads?

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