Algorithm 719: Multiprecision translation and execution of FORTRAN programs
ACM Transactions on Mathematical Software (TOMS)
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
The Journal of Supercomputing
Computing in Science and Engineering
Algorithms for Quad-Double Precision Floating Point Arithmetic
ARITH '01 Proceedings of the 15th IEEE Symposium on Computer Arithmetic
Fast computation of database operations using graphics processors
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
High-Precision Floating-Point Arithmetic in Scientific Computation
Computing in Science and Engineering
Scientific data management in the coming decade
ACM SIGMOD Record
Extended-precision floating-point numbers for GPU computation
ACM SIGGRAPH 2006 Research posters
Relational joins on graphics processors
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Frequent itemset mining on graphics processors
Proceedings of the Fifth International Workshop on Data Management on New Hardware
Relational query coprocessing on graphics processors
ACM Transactions on Database Systems (TODS)
A demonstration of SciDB: a science-oriented DBMS
Proceedings of the VLDB Endowment
Implementation and evaluation of quadruple precision BLAS functions on GPUs
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume Part I
Ameliorating memory contention of OLAP operators on GPU processors
DaMoN '12 Proceedings of the Eighth International Workshop on Data Management on New Hardware
Accelerating minor allele frequency computation with graphics processors
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
| Hi-index | 0.00 |
Scientific computing applications often require support for non-traditional data types, for example, numbers with a precision higher than 64-bit floats. As graphics processors, or GPUs, have emerged as a powerful accelerator for scientific computing, we design and implement a GPU-based extended precision library to enable applications with high precision requirement to run on the GPU. Our library contains arithmetic operators, mathematical functions, and data-parallel primitives, each of which can operate at either multi-term or multi-digit precision. The multi-term precision maintains an accuracy of up to 212 bits of signifcand whereas the multi-digit precision allows an accuracy of an arbitrary number of bits. Additionally, we have integrated the extended precision algorithms to a GPU-based query processing engine to support efficient query processing with extended precision on GPUs. To demonstrate the usage of our library, we have implemented three applications: parallel summation in climate modeling, Newton's method used in nonlinear physics, and high precision numerical integration in experimental mathematics. The GPU-based implementation is up to an order of magnitude faster, and achieves the same accuracy as their optimized, quadcore CPU-based counterparts.