Fast and Efficient Compression of Floating-Point Data
IEEE Transactions on Visualization and Computer Graphics
JPEG2000 compatible lossless coding of floating-point data
Journal on Image and Video Processing
MPI Reduction Operations for Sparse Floating-point Data
Proceedings of the 15th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Using Arithmetic Coding for Reduction of Resulting Simulation Data Size on Massively Parallel GPGPUs
Proceedings of the 15th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
CoMPI: Enhancing MPI Based Applications Performance and Scalability Using Run-Time Compression
Proceedings of the 16th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
A method of adaptive coarsening for compressing scientific datasets
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
RDIF a preprocessing filter for HDF5
AMERICAN-MATH'10 Proceedings of the 2010 American conference on Applied mathematics
BEMC: a searchable, compressed representation for large seismic wavefields
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
International Journal of High Performance Computing Applications
Compressing the incompressible with ISABELA: in-situ reduction of spatio-temporal data
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
Lossless compression of variable-precision floating-point buffers on GPUs
I3D '12 Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
A CUDA programming toolkit on grids
International Journal of Grid and Utility Computing
Geometry Presorting for Implicit Object Space Partitioning
Computer Graphics Forum
An adaptive, scalable, and portable technique for speeding up MPI-based applications
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
Fast and effective lossy compression algorithms for scientific datasets
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
The alpha parallelogram predictor: A lossless compression method for motion capture data
Information Sciences: an International Journal
ARC'13 Proceedings of the 9th international conference on Reconfigurable Computing: architectures, tools, and applications
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In scientific computing environments, large amounts of floating-point data often need to be transferred between computers as well as to and from storage devices. Compression can reduce the number of bits that need to be transferred and stored. However, the runtime overhead due to compression may be undesirable in high-performance settings where short communication latencies and high bandwidths are essential. This paper describes and evaluates a new compression algorithm that is tailored to such environments. It typically compresses numeric floating-point values better and faster than other algorithms do. On our data sets, it achieves compression ratios between 1.2 and 4.2 as well as compression and decompression throughputs between 2.8 and 5.9 million 64-bit double- precision numbers per second on a 3GHz Pentium 4 machine.