Free software raid performance software for linux

HPL is a software package that solves a (random) dense linear system in double precision (64 bits) arithmetic on distributed-memory computers. It can thus be regarded as a portable as well as freely available implementation of the High Performance Computing Linpack Benchmark.

The algorithm used by HPL can be summarized by the following keywords: Two-dimensional block-cyclic data distribution - Right-looking variant of the LU factorization with row partial pivoting featuring multiple look-ahead depths - Recursive panel factorization with pivot search and column broadcast combined - Various virtual panel broadcast topologies - bandwidth reducing swap-broadcast algorithm - backward substitution with look-ahead of depth 1.

The HPL package provides a testing and timing program to quantify the accuracy of the obtained solution as well as the time it took to compute it. The best performance achievable by this software on your system depends on a large variety of factors.

Nonetheless, with some restrictive assumptions on the interconnection network, the algorithm described here and its attached implementation are scalable in the sense that their parallel efficiency is maintained constant with respect to the per processor memory usage.

The HPL software package requires the availibility on your system of an implementation of the Message Passing Interface MPI (1.1 compliant). An implementation of either the Basic Linear Algebra Subprograms BLAS or the Vector Signal Image Processing Library VSIPL is also needed. Machine-specific as well as generic implementations of MPI, the BLAS and VSIPL are available for a large variety of systems.

Performance Co-Pilot (PCP) is a framework and services to support system-level performance monitoring and performance management.
The services offered by PCP are especially attractive for those tackling harder system-level performance problems. For example this may involve a transient performance degradation, or correlating end-user quality of service with platform activity, or diagnosing some complex interaction between resource demands on a single system, or management of performance on large systems with lots of "moving parts".
The distributed PCP architecture makes it especially useful for those seeking centralized monitoring of distributed processing (e.g. in a cluster or webserver farm environment), especially where a large number hosts are involved.
Main features:
- A single API for accessing the performance data that hides details of where the data comes from and how it was captured and imported into the PCP framework.
- A client-server architecture allows multiple clients to monitor the same host, and a single client to monitor multiple hosts (e.g. in a Beowulf cluster). This enables centralized monitoring of distributed processing.
- Integrated archive logging and replay so a client application can use the same API to process real-time data from a host or historical data from an archive.
- The framework supports APIs and configuration file formats that enable the scope of performance monitoring to be extended at all levels.
- An "plugin" framework (libraries, APIs, agents and daemon) to collect performance data from multiple sources on a single host, e.g. from the hardware, the kernel, the service layers, the application libraries, and the applications themselves.
- Libraries and sample implementations encourage the development of new "plugins" (or agents) to capture and export the performance data that matters in your application environment, along side the other generic performance data.
- An endian-safe transport layer for moving performance metrics between the collector and the monitoring applications over TCP/IP. This means an IRIX desktop with PCP can monitor one or more Linux systems with the Open Source release of PCP installed.
- A Linux agent that exports a broad range of performance data from most kernels circa 2.0.36 (RedHat 5.2) or later. This includes coverage of activity in the areas of: CPU, disk, memory, swapping, network, NFS, RPC, filesystems and all the per-process statistics.
- Other agents export performance data from:
- Web server activity logs
- arbitrary application-level tracing (via a PCP trace library)
- Cisco routers
- sendmail
- the mail queue
- the PCP infrastructure itself
- Assorted simple monitoring tools that use the PCP APIs to retrieve and display either arbitrary performance metrics, or specific groups of metrics (as in pmstat a cluster-aware vmstat lookalike).
- The PCP inference engine supports automated monitoring through a rule-based language and interpreter that performs user-defined actions when rule predicates are found to be true.

pcpViewer is a 3D viewer of data gathered through the excellent "Performance Co-Pilot" library.

You can see usage of CPU time, net devices, memory, hard drives, and virtually any data exported by the pcp library and daemon.

I first started this "pet project" as a 3D xosview replacement (thanks for inspiration), so one of the goal is to get the same level of responsiveness as xosview.

Netperf is a benchmark that can be used to measure the performance of many different types of networking.
It provides tests for both unidirecitonal throughput, and end-to-end latency. The environments currently measureable by netperf include:
- TCP and UDP via BSD Sockets
- DLPI
- Unix Domain Sockets
- Fore ATM API
- HP HiPPI Link Level Access

RAIDmon2 is a script to monitor Dells PERC/4 RAID controller with SNMP.

It uses X-window (Tk at version 2.2, GTK in older ones) or STDOUT as output.

Archie project is a complete live Arch linux system (v0.7) to be run from a cd/usb, built with the KISS philosophy in mind. No packages have been stripped to provide a full Arch linux system, yet deliver fastest performance with no extensive bloating.
Archie uses its own hw-detection tool (lshwd) ideally to support a wide range of hardware with low detection time. Archie also provides extended features like multi-lingual, nesting capabilities and hd-install.
Main features:
- KISS
- Performance, performance, performance
- Unique hw-detection tool (lshwd)
- Automatic desktop/optional startup dialogs
- nesting root (/) or home (/home) directories
- hd-install

JPerfmeter is a Java Performance statistics monitor.

JPerfmeter is a simple performance statistics monitor in the style of perfmeter, full Java.

Note that JPerfmeter needs the rpc.rstatd daemon to be running on the system its monitoring (available on Solaris systems and other various UNIX/Linux systems).

Score Cluster System Software is a cluster system software is designed for the high performance cluster environment without using the TCP/IP protocol stack. Score Cluster System Software features high performance communication, efficient computer management and single-system image, higher usability and availabily, and a seamless cluster environment.
Enhancements:
- Support for PM/Myrinet2XP devices and X11 relay has been restored.
- This release adds checkpointing, autoconfiguration, and dynamic reconfiguration.
- It eliminates the need for kernel patching through the use of modules.
- There are many bugfixes.