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[diderot] Diff of /branches/vis12-cl/TODO
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Diff of /branches/vis12-cl/TODO

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revision 1204, Thu May 12 19:10:20 2011 UTC revision 1295, Thu Jun 9 06:42:54 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 41  Line 43 
43  One question: clamp(x, lo, hi) is the argument order used in OpenCL  One question: clamp(x, lo, hi) is the argument order used in OpenCL
44  and other places, but clamp(lo, hi, x) is much more consistent with  and other places, but clamp(lo, hi, x) is much more consistent with
45  lerp(lo, hi, x), hence GLK's preference  lerp(lo, hi, x), hence GLK's preference
46    [DONE]
47    
48  [GLK:2] Proper handling of stabilize method  [GLK:2] Proper handling of stabilize method
49    
# Line 60  Line 63 
63      to index into complete list      to index into complete list
64    
65  [GLK:6] Use of Teem's "hest" command-line parser for getting  [GLK:6] Use of Teem's "hest" command-line parser for getting
66  any input variables that are not defined in the source file  any "input" variables that are not defined in the source file.
67    
68  [GLK:7] ability to declare a field so that probe positions are  [GLK:7] ability to declare a field so that probe positions are
69  *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 96 
96    
97  "initially" supports lists  "initially" supports lists
98    
99  "initially" supports lists of positions output from  "initially" supports lists of positions output from different
100  different initalization Diderot program  initalization Diderot program (or output from the same program;
101    e.g. using output of iso2d.diderot for one isovalue to seed the input
102    to another invocation of the same program)
103    
104  Communication between strands: they have to be able to learn each  Communication between strands: they have to be able to learn each
105  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 210 
210    field#2(3)[] F = bspln3 ⊛ img;    field#2(3)[] F = bspln3 ⊛ img;
211  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.
212    field#0(3)[] F = (bspln3 ⊗ bspln3 ⊗ tent) ⊛ img;    field#0(3)[] F = (bspln3 ⊗ bspln3 ⊗ tent) ⊛ img;
213  This is especially important for things like time-varying data, or  This is especially important for things like time-varying fields
214  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
215  different from the rest, and hence must be treated separately when  must be convolved with a different kernel during probing.
216  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
217  we should notate the gradient, when we only want to differentiate with  gradient, when we only want to differentiate with respect to some
218  respect to some subset of the axes.  One ambitious idea would be:  subset of the axes.  One ambitious idea would be:
219    field#0(3)[] Ft = (bspln3 ⊗ bspln3 ⊗ tent) ⊛ img; // 2D time-varying field    field#0(3)[] Ft = (bspln3 ⊗ bspln3 ⊗ tent) ⊛ img; // 2D time-varying field
220    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
221    vec2 grad = ∇F([x,y]);                             // 2D gradient    vec2 grad = ∇F([x,y]);                             // 2D gradient

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