We are pleased to announce Jacket 1.4, with support for the latest NVIDIA graphics processing units based on the Fermi architecture (Tesla 20-series and GeForce GTX 4xx-series). NVIDIA's release of the Fermi architecture brings with it 448 computational cores, increased IEEE-754 floating-point arithmetic precision, error-correcting memory for reliable computation, and enhanced memory caching mechanisms.
Highlights for Jacket 1.4 are as follows:
- Added support for the NVIDIA Fermi architecture (GTX400 and Tesla C2000 series)
- Jacket DLA support for Fermi
- Dramatically improved the performance of Jacket's JIT (Just-In-Time) compilation technology
- Operations involving random scalar constants do not incur a recompile
- Removed dependencies on MINGW and NVCC
- Logical indexing now supported for SUBSREF and SUBSASGN, e.g. B = A(A > x)
- MTIMES supports mixed types, no longer uses CUBLAS, and achieves better performance than CUBLAS
- SUM, MIN, MAX, ANY, ALL now supported over any number of columns, rows, or dimensions
- MIN, MAX indexed output now supported for complex single and complex double inputs
- SUM, MIN, MAX over columns is greatly accelerated; vectors accelerated too
- FIND performance improvements
- CONVN, BLKDIAG, DOT performance improvements
- CUMSUM now supported for matrices also
- SORT, CONVN now supported in double-precision
- HESS(A) and [P,H] = HESS(A) now supported (see Jacket DLA)
- LEGENDRE now supported
- Expanded GFOR support for:
- MLDIVIDE, INV, HESS, MTIMES
- FFT, FFT2, FFTN and inverses IFFT, IFFT2, IFFTN
- PCG now supported, this is a system solver that uses the Preconditioned Conjugate Gradient Method for dense matrices
- Image Processing Library now available. Direct access to the NVIDIA Performance Primitives (NPP) enabling new image processing functionality such as ERODE and DILATE.
The release notes are as follows:
See the full release notes below.
