17 projects tagged "Optimization"
CacheGuard Appliance is an all-in-one OS appliance providing firewall, antivirus, caching, compression, bandwidth allocation, load balancing, reverse and forward proxy, high availability, Web application firewall, URL guarding, and more. It can be purchased as an OS to install on your server, as an OS to run in a virtual machine, or as a hardware appliance.
Traffic Squeezer is a Linux kernel based WAN network traffic accelerator from Doublefish Solutions. It uses methods such as traffic compression, traffic PDU coalescing, protocol specific acceleration (such as TCP acceleration mechanisms), and quality of service. Traffic Squeezer also contains custom L7filters (application protocol filters), DPI (Deep Packet Engines) and so on to control and administrate your traffic. With Traffic Squeezer, you can optimize MPLS,ISDN, leased links, Satellite Networks, and Marine Internet, and even build your own custom WAN Appliance with Traffic Squeezer. A GUI is now supported via Doublefish Solution Aquarium. Aquarium is a Web-GUI that also supports Traffic Squeezer, Squid, and other open source solutions.
Japplis Website Optimizer is a tool that can reduce the size of your Web pages, CSS, and Javascript by more than 50% using several techniques. This will not only make your Web site faster but also save bandwidth. It can also add the height, width, and alt attribute to the images if missing. It can generate an .htaccess file to improve the caching of the server.
JCGO (pronounced as "j-c-go") translates (converts) programs written in Java into platform-independent C code that can be compiled (by third-party tools) into highly-optimized native code for the target platform. JCGO is a powerful solution that enables your desktop, server-side, embedded, mobile, and wireless Java applications to take full advantage of the underlying hardware. In addition, JCGO makes your programs, when compiled to native code, as hard to reverse engineer as if they were written in C/C++. The JCGO translator uses some optimization algorithms that allow, together with optimizations performed by a C compiler, the resulting executable code to reach better performance compared with the traditional Java implementations (based on the Just-In-Time technology). The produced executable does not contain nor require a Java Virtual Machine to execute, so its resource requirements are smaller than that required by a typical Java VM. This also simplifies the process of deployment and distribution of an application.
ulatencyd is a scriptable daemon which constantly optimizes the Linux kernel for best user experience. The default configuration tries reduce the latency for a typical desktop system and protects the system from malicious processes and groups. With a different configuration, all other types of systems can be adjusted as well.
AutoDiff.NET is a pure .NET library that allows a developer to easily compose functions symbolically and then automatically calculates the function's value and gradient at any given point. It can be very useful in conjunction with a gradients-based optimization library. It has been tested to work on Mono 2.10 on Linux and on .NET4 on Windows.
HOPSPACK solves derivative-free optimization problems in a C++ software framework. The framework enables parallel operation using MPI (for distributed machine architectures) and multithreading (for single machines with multiple processors or cores). Optimization problems can be very general: functions can be noisy, nonsmooth, and nonconvex, linear and nonlinear constraints are supported, and variables may be continuous or integer-valued.
ca-ga is a toy artificial life simulation that uses genetic algorithms on large cellular automata. It uses simple but easily extended DNA that is 8k long by default, though you can take the size out to anything you have time to evolve. It sits under each cell of a 128x128 board and orders operations to transfer energy in the hopes of achieving a kill and breed. The simulation features a mutating fitness function, emergent sex, and a proof of concept real world fitness function. After enough generations, the cells or genes could achieve collectivism and organismhood, coordinating the values of the hotspots that determine board temperature in order to maintain a desired equilibrium. But maybe not. If you work in a fitness function, an optimizing problem solver results.