This article talks about the performance issues on multi-core system. It basically recommends to use the parallelism, such as OpenMP, in order to take full advantage of it. It also gives the common issues limiting the performance. I think it's a very good article to summarize idea.
http://www.devx.com/go-parallel/Article/34428
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Here are the paper list proposing research using the OpenMP library in Power-aware computing area.
1. Chun Liu, et. al, "Exploiting Barriers to Optimize Power Consumption of CMPs", IPDPS 2005.
This work is to use slack time among processors. By figuring out stall time at the end of each iteration, it reduces the frequency to save power without performance degradation. The evaluation in th paper is done only with simulator, not real experiment. SpecOMP is used to verify the idea.
2. Matthew Curtis-Maury, et. al, "Online Power-Performance Adaptation of Multithreaded Programs using Hardware Event-Based Prediction", ICS 2006.
This paper designed and implemented a framework that can adaptively regulate the concurrency level during program execution. So, the processors/threads configuration is changed based to achieve near-optimal energy efficiency. It build power/performance models and uses the hardware counters. For evaluation, 4 hyperthreaded Intel processors are used.
3. Jian Li, et. al, "Dynamic Power-Performance Adaptation of Parallel Computation on Chip Multiprocessors", HPCA 2006.
This paper proposes a heuristic method to determine # of processors and frequency level on one CMP node. All evaluation are performed on simulator. It does not expand the approach to multiple CMP nodes.
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This presentation file explains why the hybrid of MPI/OpenMP programming is required.
It comes with the examples and strategies.
Also, it talks about when the hybrid mode performs better.
http://www.nersc.gov/nusers/services/tr ... hybrid.ppt
Also, here are the paper list focusing on the performance in hybrid MPI/OpenMP applications.
1. Felix Wolf, et. al, "Automatic performance anlysis of hybrid MPI/OpenMP applications", Journal of Systems Architecture 2003.
2. Laksono Adhianto, et. al, "Performance Modeling of Communication and Computation in Hybrid MPI/OpenMP applications", ICPADS 2006.
3. Edmond Chow, et. al, "Assessing Performance of Hybrid MPI/OpenMP Programs on SMP Clusters"
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The ext3cow file system has been released for the 2.6 Linux kernel. This extension to ext3 adds "copy on write" (cow) functionality, which in turn allows the user to view the file system as it existed in the past. Unlike fixed checkpointing, this means that a user could dial in any time whatsoever, and see a consistent filesystem from that moment. It would be interesting to see what the performance characteristics of the system are.
If you're interested, you can get it from ext3cow.com; it consists of a kernel patch based on kernel 2.6.20.3, as well as some userland tools.
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Three tenured professors were having a dialogue. The first argued that it is wrong to kill sheep because they provide us with milk and wool. The second argued that it is wrong to kill cows because they provide us with milk and plow our fields. The third argued that it is wrong to kill pigs because they provide us with bacon, ham, and pork chops.
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By way of slashdot, this Exoid article details how to make sure Windows uses the S3 sleep state, even for an always-on server. Also linked is this handy reference to the possible ACPI sleep states.
Perhaps something like this could be developed into a vehicle for low-utilization servers?
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Clarkson University Prof Jeanna Matthews has one of the best round ups of system papers. It comes as no surprise that she received her training at Berkeley. Kudos to her.
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Ubuntu 7.04 was released today. You can get it from one of the official mirrors or from our unofficial mirror.
Okay, maybe this isn't "research" news, but I still like it.
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The Parallel Workloads Archive is an archive of real workload submission and execution data from real clusters from 1993 to the present. It supports a unified log file format (the Standard Workload Format, SWF) so that data from diverse sources can be analyzed together. With over 3 million jobs from 21 clusters, there's plenty of information to be had. It's maintained by Dror Feitelson of the Hebrew University of Jerusalem.
You can either visit the original Parallel Workloads Archive or our mirror of the site.
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This is the inaugural post of the Operating Systems Research News blog. We hope to report on interesting developments in OS research, specifically within the domains of power-aware, high-performance, and commercial computing, as well as storage technology. This blog will cover industry and research developments, as well as our own projects and software releases.
Our research group is part of the Department of Computer Science at North Carolina State University, and is lead by Dr. Vince Freeh. It includes a number of PhD and MS students, as well as associate members from both academia and industry.
We look forward to providing a guide to the many facets of Operating Systems development!
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