librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache-efficient and multithreaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available (matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction/setting, blocks extraction, norm computation, formats conversion). The RSB format is especially well-suited for symmetric and transposed multiplication variants. On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. Most numerical kernels code is auto-generated, and the supported numerical types can be chosen by the user at buildtime. librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents.
crtmpserver it is a high performance streaming server able to stream (live or recorded) in the following technologies: to and from Flash (RTMP, RTMPE, RTMPS, RTMPT, RTMPTE), to and from embedded devices (such as iPhone and Android), from surveillance cameras, and with IP-TV using MPEG-TS and RTSP/RTCP/RTP protocols. Also, crtmpserver can be used as a high performance rendesvous server. For example, it enables you to do audio/video conferencing, online gaming, online collaboration, and simple or complex chat applications.
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.