Difference between revisions of "Milestones"

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(Updated weightings and costs according to updated DAG)
(Added Munaaf's dissertation)
 
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Cost ''of'' milestones were calculated by taking the effort allocated per consortium member for the particular quarter the milestone is in and allocating a proportion of that quarter's costs based on the amount of effort required in that quarter (shown in the table as ''quarter effort''). The cost ''to'' milestone is then calculated by using the projects Gantt Chart and calculating the cumulative costs of all work required for that milestone. For the costs attributed to Work Package 10, these are ongoing throughout the project and thus have been allocated  
+
Cost ''of'' milestones were calculated by taking the effort allocated per consortium member for the particular quarter the milestone is in and allocating a proportion of that quarter's costs based on the amount of effort required in that quarter (shown in the table as ''quarter effort''). The cost ''to'' milestone is then calculated by using the projects Gantt Chart and calculating the cumulative costs of all work required for that milestone. For the costs attributed to Work Package 9, these are ongoing throughout the project and have been allocated as such.
  
 
{| class="wikitable sortable" width="100%"
 
{| class="wikitable sortable" width="100%"
 
! Ref !! Title !! Work Package !! Responsibility !! Due Date !! Quarter Effort !! Cost of Milestone (£) !! Cost to Milestone (£) !! Notes
 
! Ref !! Title !! Work Package !! Responsibility !! Due Date !! Quarter Effort !! Cost of Milestone (£) !! Cost to Milestone (£) !! Notes
 
|-
 
|-
| WP1/1 || Decision of GCC/LLVM for first implementation || WP1 || Emb. || 2013-08-31 || 35% || 5134.80 || 5134.80 ||
+
| WP3/1 || Board Design Documentation and working hardware || WP3 || UoB || 2013-07-31 || 100% || 17009.00 || 17009.00 || Completed, v2 board produced and distributed at EEC SIG workshop and FOSDEM with TSB support. New batch being ordered end of September 2014, to support industry interest in evaluation.
 +
|-
 +
| WP1/1 || Decision of GCC/LLVM for first implementation || WP1 || Emb. || 2013-08-31 || 35% || 5134.80 || 5134.80 || GCC chosen.
 
|-
 
|-
 
| WP1/2 || Design documentation for compiler integration, machine learning interface and available features || WP1 || Emb. || 2013-08-31 || 65% || 9536.07 || 9536.07 || Iterative design, live document
 
| WP1/2 || Design documentation for compiler integration, machine learning interface and available features || WP1 || Emb. || 2013-08-31 || 65% || 9536.07 || 9536.07 || Iterative design, live document
 
|-
 
|-
| WP2/1 || First and second iterations of implementation, testing, documentation with two compilers || WP2 || Emb. || 2013-11-30 || 100% || 10289.30 || 33172.62 ||  
+
| WP4/1 || Training set and case study sources || WP4 || UoB || 2013-09-30 || 33.3% || 2510.93 || 2510.93 || BEEBS v2.0 now released with 80 benchmarks, data variants and per-function data to be used. Three real-world case studies identified.
|-
 
| WP3/1 || Board Design Documentation and working hardware || WP3 || UoB || 2013-07-31 || 100% || 17009.00 || 17009.00 ||
 
 
|-
 
|-
| WP4/1 || Training set and case study sources || WP4 || UoB || 2013-09-30 || 33.3% || 2510.93 || 2510.93 ||
+
| WP4/2 || Embedded systems set up for testing || WP4 || UoB || 2013-09-30 || 33.3% || 3010.93 || 22530.85 || Complete, documentation as [[Workshop]] on how to use the system.
 
|-
 
|-
| WP4/2 || Embedded systems set up for testing || WP4 || UoB || 2013-09-30  || 33.3% || 3010.93 || 22530.85 || Physical setup internal, documentation external
+
| WP5/2 || Selection of core learning algorithm(s), training approach and API || WP5 || UoB || 2013-09-30  || 33% || 2510.93 || 8212.45 || Output of working days. Complete.
 
|-
 
|-
| WP5/1 || Literature Review || WP5 || UoB || 2013-12-31  || 100% || 5701.53 || 5701.53 || May be appropriate for publication
+
| WP2/1 || First and second iterations of implementation, testing, documentation with two compilers || WP2 || Emb. || 2013-11-30 || 100% || 10289.30 || 33172.62 || Complete for GCC and LLVM.
 
|-
 
|-
| WP5/2 || Selection of core learning algorithm(s), training approach and API || WP5 || UoB || 2013-09-30 || 33% || 2510.93 || 8212.45 || Output of working days
+
| WP5/1 || Literature Review || WP5 || UoB || 2013-12-31 || 100% || 5701.53 || 5701.53 || [[Media:Munaaf-dissertation.pdf|Complete Review]] by Munaaf Ghumran as part of his MEng.
 
|-
 
|-
| WP5/3 || Review of approach || WP5 || UoB || 2014-07-31 || 33% || 8281.77 || 41454.38 || May be appropriate for publication
+
| WP6/1 || Working training infrastructure (existing optimisations) || WP6 || Emb. || 2014-02-28 || 35% || 7556.52 || 7556.52 || Complete. Data currently being gathered for ATMega328.
 
|-
 
|-
| WP6/1 || Working training infrastructure (existing optimisations) || WP6 || Emb. || 2014-02-28 || 35% || 7556.52 || 7556.52 ||  
+
| WP6/2 || Results from proof of concept training and test (existing optimisations) || WP6 || Emb. || 2014-02-28 || 25% || 5397.51 || 68657.49 || Demonstrated at [http://gcc.gnu.org/wiki/cauldron2014 GNU Tools Cauldron]
 
|-
 
|-
| WP6/2 || Results from proof of concept training and test (existing optimisations) || WP6 || Emb. || 2014-02-28 || 25% || 5397.51 || 68657.49 || This is proof of concept, not the evaluation
+
| WP7/1 || Design and implement optimisation passes in GCC || WP7 || Emb. || 2014-02-28 || 40% || 8636.02 || 8626.02 || Theoretical basis being presented at conferences in Q6. Implementation unlikely, due to illness.
 
|-
 
|-
| WP6/3 || Working training infrastructure (new optimisations) || WP6 || Emb. || 2014-05-31 || 33.3% Emb, 50% UoB || 9579.99 || 86873.50 ||  
+
| WP6/3 || Working training infrastructure (new optimisations) || WP6 || Emb. || 2014-05-31 || 33.3% Emb, 50% UoB || 9579.99 || 86873.50 || Not possible due to dependency on WP 7/1,
 
|-
 
|-
| WP6/4 || Results from proof of concept training and test (new optimisations) || WP6 || Emb. || 2014-05-31 || 33.3% Emb, 50% UoB || 9579.99 || 96453.50 || This is proof of concept, not the evaluation
+
| WP6/4 || Results from proof of concept training and test (new optimisations) || WP6 || Emb. || 2014-05-31 || 33.3% Emb, 50% UoB || 9579.99 || 96453.50 || Not possible due to dependency on WP 7/1,  
 
|-
 
|-
| WP7/1 || Design and implement optimisation passes in GCC || WP7 || Emb. || 2014-02-28 || 40% || 8636.02 || 8626.02 ||  
+
| WP7/2 || Implement optimisation passes in LLVM || WP7 || Emb. || 2014-05-31  || 33.3% || 7171.74 || 15807.76 || Not possible due to dependency on WP 7/1,
 
|-
 
|-
| WP7/2 || Implement optimisation passes in LLVM || WP7 || Emb. || 2014-05-31 || 33.3% || 7171.74 || 15807.76 ||  
+
| WP5/3 || Review of approach || WP5 || UoB || 2014-07-31 || 33% || 8281.77 || 41454.38 || [http://mageec.org/2014/07/04/initial-review-of-data-interpretationcollection-for-summer-2014/ Blog post] by Greg Cawthorne, which may be suitable for future publication.
 
|-
 
|-
| WP8/1 || Trained and tested complete system with full case studies || WP8 || UoB || 2014-08-31 || 33.3% Emb, 50% UoB || 14030.86 || 109443.65 ||
+
| WP8/1 || Trained and tested complete system with full case studies || WP8 || UoB || 2014-09-30 || 33.3% Emb, 50% UoB || 14030.86 || 109443.65 || In progress.
 
|-
 
|-
| WP8/2 || Draft paper presenting results || WP8 || UoB || 2014-08-31 || 33.3% Emb, 50% UoB || 14030.86 || 139968.72 ||  
+
| WP8/2 || Draft paper presenting results || WP8 || UoB || 2014-09-30 || 33.3% Emb, 50% UoB || 14030.86 || 139968.72 || In progress.
 
|-
 
|-
| WP8/3 || Final paper with final modifications and result generation || WP8 || Emb. || 2014-11-30 || 100% Emb, 100% UoB || 25426.28 || 165395.00  || This is the ultimate report and it is anticipated that it will take some time to develop.  
+
| WP8/3 || Final paper with final modifications and result generation || WP8 || Emb. || 2014-11-30 || 100% Emb, 100% UoB || 25426.28 || 165395.00  || This is the ultimate report and it is anticipated that it will take some time to develop. Depends on WP8/2.
 
|}
 
|}
  
 
[[Category:Planning]]
 
[[Category:Planning]]

Latest revision as of 10:05, 4 April 2015

Cost of milestones were calculated by taking the effort allocated per consortium member for the particular quarter the milestone is in and allocating a proportion of that quarter's costs based on the amount of effort required in that quarter (shown in the table as quarter effort). The cost to milestone is then calculated by using the projects Gantt Chart and calculating the cumulative costs of all work required for that milestone. For the costs attributed to Work Package 9, these are ongoing throughout the project and have been allocated as such.

Ref Title Work Package Responsibility Due Date Quarter Effort Cost of Milestone (£) Cost to Milestone (£) Notes
WP3/1 Board Design Documentation and working hardware WP3 UoB 2013-07-31 100% 17009.00 17009.00 Completed, v2 board produced and distributed at EEC SIG workshop and FOSDEM with TSB support. New batch being ordered end of September 2014, to support industry interest in evaluation.
WP1/1 Decision of GCC/LLVM for first implementation WP1 Emb. 2013-08-31 35% 5134.80 5134.80 GCC chosen.
WP1/2 Design documentation for compiler integration, machine learning interface and available features WP1 Emb. 2013-08-31 65% 9536.07 9536.07 Iterative design, live document
WP4/1 Training set and case study sources WP4 UoB 2013-09-30 33.3% 2510.93 2510.93 BEEBS v2.0 now released with 80 benchmarks, data variants and per-function data to be used. Three real-world case studies identified.
WP4/2 Embedded systems set up for testing WP4 UoB 2013-09-30 33.3% 3010.93 22530.85 Complete, documentation as Workshop on how to use the system.
WP5/2 Selection of core learning algorithm(s), training approach and API WP5 UoB 2013-09-30 33% 2510.93 8212.45 Output of working days. Complete.
WP2/1 First and second iterations of implementation, testing, documentation with two compilers WP2 Emb. 2013-11-30 100% 10289.30 33172.62 Complete for GCC and LLVM.
WP5/1 Literature Review WP5 UoB 2013-12-31 100% 5701.53 5701.53 Complete Review by Munaaf Ghumran as part of his MEng.
WP6/1 Working training infrastructure (existing optimisations) WP6 Emb. 2014-02-28 35% 7556.52 7556.52 Complete. Data currently being gathered for ATMega328.
WP6/2 Results from proof of concept training and test (existing optimisations) WP6 Emb. 2014-02-28 25% 5397.51 68657.49 Demonstrated at GNU Tools Cauldron
WP7/1 Design and implement optimisation passes in GCC WP7 Emb. 2014-02-28 40% 8636.02 8626.02 Theoretical basis being presented at conferences in Q6. Implementation unlikely, due to illness.
WP6/3 Working training infrastructure (new optimisations) WP6 Emb. 2014-05-31 33.3% Emb, 50% UoB 9579.99 86873.50 Not possible due to dependency on WP 7/1,
WP6/4 Results from proof of concept training and test (new optimisations) WP6 Emb. 2014-05-31 33.3% Emb, 50% UoB 9579.99 96453.50 Not possible due to dependency on WP 7/1,
WP7/2 Implement optimisation passes in LLVM WP7 Emb. 2014-05-31 33.3% 7171.74 15807.76 Not possible due to dependency on WP 7/1,
WP5/3 Review of approach WP5 UoB 2014-07-31 33% 8281.77 41454.38 Blog post by Greg Cawthorne, which may be suitable for future publication.
WP8/1 Trained and tested complete system with full case studies WP8 UoB 2014-09-30 33.3% Emb, 50% UoB 14030.86 109443.65 In progress.
WP8/2 Draft paper presenting results WP8 UoB 2014-09-30 33.3% Emb, 50% UoB 14030.86 139968.72 In progress.
WP8/3 Final paper with final modifications and result generation WP8 Emb. 2014-11-30 100% Emb, 100% UoB 25426.28 165395.00 This is the ultimate report and it is anticipated that it will take some time to develop. Depends on WP8/2.