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[diderot] Diff of /trunk/TODO
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Diff of /trunk/TODO

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revision 1204, Thu May 12 19:10:20 2011 UTC revision 1257, Tue May 24 18:47:46 2011 UTC
# Line 5  Line 5 
5  SHORT TERM ============= (*needed* for streamlines & tractography)  SHORT TERM ============= (*needed* for streamlines & tractography)
6  ========================  ========================
7    
8    Remove CL from compiler
9    
10  [GLK:3] Add sequence types (needed for evals & evecs)  [GLK:3] Add sequence types (needed for evals & evecs)
11      syntax      syntax
12          types: ty '{' INT '}'          types: ty '{' INT '}'
# Line 23  Line 25 
25  SHORT-ISH TERM ========= (to make using Diderot less annoying to  SHORT-ISH TERM ========= (to make using Diderot less annoying to
26  ========================  program in, and slow to execute)  ========================  program in, and slow to execute)
27    
28  value-numbering optimization [DONE, but needs more testing]  value-numbering optimization [DONE]
29    
30  Allow ".ddro" file extensions in addition to ".diderot"  Allow ".ddro" file extensions in addition to ".diderot"
31    
# Line 60  Line 62 
62      to index into complete list      to index into complete list
63    
64  [GLK:6] Use of Teem's "hest" command-line parser for getting  [GLK:6] Use of Teem's "hest" command-line parser for getting
65  any input variables that are not defined in the source file  any "input" variables that are not defined in the source file.
66    
67  [GLK:7] ability to declare a field so that probe positions are  [GLK:7] ability to declare a field so that probe positions are
68  *always* "inside"; with various ways of mapping the known image values  *always* "inside"; with various ways of mapping the known image values
# Line 93  Line 95 
95    
96  "initially" supports lists  "initially" supports lists
97    
98  "initially" supports lists of positions output from  "initially" supports lists of positions output from different
99  different initalization Diderot program  initalization Diderot program (or output from the same program;
100    e.g. using output of iso2d.diderot for one isovalue to seed the input
101    to another invocation of the same program)
102    
103  Communication between strands: they have to be able to learn each  Communication between strands: they have to be able to learn each
104  other's state (at the previous iteration).  Early version of this can  other's state (at the previous iteration).  Early version of this can
# Line 205  Line 209 
209    field#2(3)[] F = bspln3 ⊛ img;    field#2(3)[] F = bspln3 ⊛ img;
210  or, as a tensor product of kernels, one for each axis, e.g.  or, as a tensor product of kernels, one for each axis, e.g.
211    field#0(3)[] F = (bspln3 ⊗ bspln3 ⊗ tent) ⊛ img;    field#0(3)[] F = (bspln3 ⊗ bspln3 ⊗ tent) ⊛ img;
212  This is especially important for things like time-varying data, or  This is especially important for things like time-varying fields
213  other multi-dimensional fields where one axis of the domain is very  and the use of scale-space in field visualization: one axis of the
214  different from the rest, and hence must be treated separately when  must be convolved with a different kernel during probing.
215  it comes to convolution.  What is very unclear is how, in such cases,  What is very unclear is how, in such cases, we should notate the
216  we should notate the gradient, when we only want to differentiate with  gradient, when we only want to differentiate with respect to some
217  respect to some subset of the axes.  One ambitious idea would be:  subset of the axes.  One ambitious idea would be:
218    field#0(3)[] Ft = (bspln3 ⊗ bspln3 ⊗ tent) ⊛ img; // 2D time-varying field    field#0(3)[] Ft = (bspln3 ⊗ bspln3 ⊗ tent) ⊛ img; // 2D time-varying field
219    field#0(2)[] F = lambda([x,y], Ft([x,y,42.0]))     // restriction to time=42.0    field#0(2)[] F = lambda([x,y], Ft([x,y,42.0]))     // restriction to time=42.0
220    vec2 grad = ∇F([x,y]);                             // 2D gradient    vec2 grad = ∇F([x,y]);                             // 2D gradient

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