Processing Poisson series in parallel
Journal of Symbolic Computation
The measured cost of conservative garbage collection
Software—Practice & Experience
Burst tries: a fast, efficient data structure for string keys
ACM Transactions on Information Systems (TOIS)
Algebraic and symbolic manipulation of Poisson series
Journal of Symbolic Computation
Reconsidering custom memory allocation
OOPSLA '02 Proceedings of the 17th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Comparing the speed of programs for sparse polynomial multiplication
ACM SIGSAM Bulletin
Quantifying the performance of garbage collection vs. explicit memory management
OOPSLA '05 Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Parallel sparse polynomial multiplication using heaps
Proceedings of the 2009 international symposium on Symbolic and algebraic computation
Parallel operations of sparse polynomials on multicores: I. multiplication and Poisson bracket
Proceedings of the 4th International Workshop on Parallel and Symbolic Computation
Parallel sparse polynomial division using heaps
Proceedings of the 4th International Workshop on Parallel and Symbolic Computation
Sparse polynomial multiplication and division in Maple 14
ACM Communications in Computer Algebra
Sparse polynomial division using a heap
Journal of Symbolic Computation
Software for exact integration of polynomials over polyhedra
Computational Geometry: Theory and Applications
On the bit-complexity of sparse polynomial and series multiplication
Journal of Symbolic Computation
POLY: a new polynomial data structure for Maple 17
ACM Communications in Computer Algebra
On the complexity of multivariate blockwise polynomial multiplication
Proceedings of the 37th International Symposium on Symbolic and Algebraic Computation
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Flat vector representation of sparse multivariate polynomials is introduced in the computer algebra system TRIP with specific care to the cache memory. Burst tries are considered as an intermediate storage during the sparse multivariate polynomial multiplication by paying attention to the memory allocations. Timing and memory consumption are examined and compared with other recursive representations and other computer algebra systems.