Ubuntu
c-blosc package

c-blosc 1.15.1+ds1-2 source package in Ubuntu

c-blosc (1.15.1+ds1-2) unstable; urgency=medium

  * Orphaning package.

 -- Daniel Stender <email address hidden>  Wed, 20 Nov 2019 22:37:16 +0100

Series	Pocket	Published	Component	Section

File	Size	SHA-256 Checksum
c-blosc_1.15.1+ds1-2.dsc	2.0 KiB	330110d5c219a4b2160a9f57ec010db2c19c924a9198d9226bd0917bf45c2062
c-blosc_1.15.1+ds1.orig.tar.xz	90.3 KiB	cce242079b0d4f026f8a41375f4e5429e60c72d16fee5af31a8ba3f8dac4df0a
c-blosc_1.15.1+ds1-2.debian.tar.xz	5.0 KiB	a6a3093249b733667d6cd15bb4f8b2c6f00a2e147a391c37d0aba2535c6d3fd3

No changes file available.

libblosc-dev: high performance meta-compressor optimized for binary data (development files): Blosc is a high performance compressor optimized for binary data. It has been
designed to transmit data to the processor cache faster than the traditional,
non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc is
meant not only to reduce the size of large datasets on-disk or in-memory, but
also to accelerate memory-bound computations.
.
It uses the blocking technique to reduce activity on the memory bus as much
as possible. In short, this technique works by dividing datasets in blocks
that are small enough to fit in caches of modern processors and perform
compression / decompression there. It also leverages, if available, SIMD
instructions (SSE2) and multi-threading capabilities of CPUs, in order to
accelerate the compression / decompression process to a maximum.
.
This package contains the development files required to build programs against
Blosc.

libblosc1: high performance meta-compressor optimized for binary data: Blosc is a high performance compressor optimized for binary data. It has been
designed to transmit data to the processor cache faster than the traditional,
non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc is
meant not only to reduce the size of large datasets on-disk or in-memory, but
also to accelerate memory-bound computations.
.
It uses the blocking technique to reduce activity on the memory bus as much
as possible. In short, this technique works by dividing datasets in blocks
that are small enough to fit in caches of modern processors and perform
compression / decompression there. It also leverages, if available, SIMD
instructions (SSE2) and multi-threading capabilities of CPUs, in order to
accelerate the compression / decompression process to a maximum.