We establish non-trivial lower bounds for several prefix problems in the CRCW PRAM model. The chaining problem is, given a binary input, for each 1 in the input, to find the index of the nearest 1 to its left. Our main result is that for an input ofnbits, solving the chaining problem usingO(n) processors requires inverse-Ackerman time. This matches the previously known upper bound. We also give a reduction to show that the same lower bound applies to a parenthesis matching problem, again matching the previously known upper bound. We also give reductions to show that similar lower bounds hold for the prefix maxima and the range maxima problem
The all nearest smaller values problem is defined as follows. Let A = (a 1 ; a 2 ; : : : ; an ) be n...
We define a natural and realistic model of parallel computation called the PRAM model without bit op...
The queue-read, queue-write (QRQW) parallel random access machine (PRAM) model is a shared memory mo...
AbstractWe establish non-trivial lower bounds for several prefix problems in the CRCW PRAM model. Th...
We show non-trivial lower bounds for several prefix problems in the CRCW PRAM model. Our main result...
We show non-trivial lower bounds for several prefix problems in the CRCW PRAM model. Our main result...
Parallel prefix computation is perhaps the most frequently used subroutine in parallel algorithms to...
Abstract:- We are interested in solving the prefix problem of n inputs using p < n processors on ...
AbstractAn O(log log m) time n log mlog log m-processor CRCW-PRAM algorithm for the string prefix-ma...
AbstractWe consider the Block PRAM model of Aggarwal et al. (in "Proceedings, First Annual ACM Sympo...
The chaining problem is defined as follows. Given values a 1 ; :::; an ; a i = 0 or 1, 1 i n, comp...
Breslauer and Galil have shown that the string matching problem requires \Theta(d n p e + log log ...
The focus here is the power of some underexplored CRCW PRAMs, which are strictly more powerful than ...
We study the parallel complexity of some problems in terms of their expected times. Specifically we ...
AbstractWe present a parallel prefix algorithm which uses (2(p + 1)p (p + 1) + 2)n − 1 arithmetic an...
The all nearest smaller values problem is defined as follows. Let A = (a 1 ; a 2 ; : : : ; an ) be n...
We define a natural and realistic model of parallel computation called the PRAM model without bit op...
The queue-read, queue-write (QRQW) parallel random access machine (PRAM) model is a shared memory mo...
AbstractWe establish non-trivial lower bounds for several prefix problems in the CRCW PRAM model. Th...
We show non-trivial lower bounds for several prefix problems in the CRCW PRAM model. Our main result...
We show non-trivial lower bounds for several prefix problems in the CRCW PRAM model. Our main result...
Parallel prefix computation is perhaps the most frequently used subroutine in parallel algorithms to...
Abstract:- We are interested in solving the prefix problem of n inputs using p < n processors on ...
AbstractAn O(log log m) time n log mlog log m-processor CRCW-PRAM algorithm for the string prefix-ma...
AbstractWe consider the Block PRAM model of Aggarwal et al. (in "Proceedings, First Annual ACM Sympo...
The chaining problem is defined as follows. Given values a 1 ; :::; an ; a i = 0 or 1, 1 i n, comp...
Breslauer and Galil have shown that the string matching problem requires \Theta(d n p e + log log ...
The focus here is the power of some underexplored CRCW PRAMs, which are strictly more powerful than ...
We study the parallel complexity of some problems in terms of their expected times. Specifically we ...
AbstractWe present a parallel prefix algorithm which uses (2(p + 1)p (p + 1) + 2)n − 1 arithmetic an...
The all nearest smaller values problem is defined as follows. Let A = (a 1 ; a 2 ; : : : ; an ) be n...
We define a natural and realistic model of parallel computation called the PRAM model without bit op...
The queue-read, queue-write (QRQW) parallel random access machine (PRAM) model is a shared memory mo...