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Multiparametric Characterization of Telomere Length in T Cells by Flow-FISH. [PDF]

Curr Protoc
Trigueros M, Kharraz Y, Alzayat H, Blanco J, Negredo E, Fernandez MA, Massanella M.   +6 more
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Data flow control in an online system

Microprocessors and Microsystems, 1979
Abstract Valuable computer time and memory space is saved by using a microprocessor (Mostek F8) to control the flow of data in a multichannel laboratory data collection system. Special digital converters transmit serial BCD signals with added control bits.
Arthur C. Parker, Philip Loughery
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Variability of data dependences and control flow

2014 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2014
Thread-level speculation and profile-guided parallelization techniques exploit the fact that many statically detected data and control flow dependences do not manifest themselves in every possible program execution. Instead, many of these may-dependences only occur infrequently, e.g.
Tobias J. K. Edler von Koch, Björn Franke   +1 more
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Modeling multidimensional data and control flow

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 1993
Multidimensional (M-D) signal processing is a key component of most real-time signal and data processing VLSI systems in industry. Handling the M-D nature of data in an efficient way is crucial to arrive at acceptable system implementations. This aspect of design has often been ignored up to now in high-level synthesis.
Frank H. M. Franssen, Florin Balasa, Michaël F. X. B. van Swaaij, Francky Catthoor, Hugo De Man   +4 more
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Unified specification of control and data flow

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002
Many signal processing systems use event driven mechanisms-typically based on finite state machines (FSMs)-to control the operation of computationally intensive (data flow) parts. The state machines in turn are often fueled by external inputs as well as by feedback from the signal processing portions of the system. Packet-based transmission systems are
Thorsten Grötker, Rainer Schoenen, Heinrich Meyr   +2 more
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Complexity measurement of data and control flow

ACM SIGSOFT Software Engineering Notes, 2005
This paper describes a simple mathematical algorithm to determine the complexity of software that includes control flow and data flow. Two techniques are analyzed using examples to determine the overall complexity. One of them computes the determinant of a square matrix represented as an N2 chart.
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