[ont.events] UW Sys. Seminar, Mr. Jagannathan on "Eazyflow: A Hybrid Model for Parallel Processing"

mwang@watmath.UUCP (mwang) (08/07/84)

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_U_N_I_V_E_R_S_I_T_Y _O_F _W_A_T_E_R_L_O_O
_S_E_M_I_N_A_R _A_C_T_I_V_I_T_I_E_S

_S_Y_S_T_E_M_S _S_E_M_I_N_A_R
                           - Friday, August 17, 1984.

J.R. Jagannathan, a graduate student  of  this  depart-
ment,  will  speak  on  ``Eazyflow:  A Hybrid Model for
Parallel Processing.''

TIME:                3:00 PM  (Please note)

ROOM:              MC 5158

ABSTRACT

A hybrid dataflow model is proposed that  combines  the
data-driven  and  demand-driven models in such a way as
to reap their benefits while avoiding their drawbacks.

The model assumes that programs to be implemented  this
way are expressed in Lucid.  The meanings of Lucid pro-
grams are given by its  mathematical  semantics,  which
does not explicitly refer to operational concepts.  For
Lucid, it is possible to give different operational se-
mantics which are equally correct.  In fact, it is pos-
sible to devise a classification scheme that partitions
Lucid programs into data-driveable and demand-driveable
parts.  The scheme is justified by showing that no part
that  is  classified  as  demand-driveable can be data-
driven, whereas all parts classified as  data-driveable
really can be data-driven.

The requirements of an abstract  engine  embodying  the
hybrid  model  are outlined, the interpretations of the
various operators, by such an engine, are outlined, and
the data-driven/demand-driven interface is discussed.

                    August 7, 1984