Home > Publications > Released SDP Memos II

Released SDP Memos II

SDP Memo Disclaimer: The SDP memos are designed to allow the quick recording of investigations and research done by members of the SDP. They are also designed to raise questions about parts of the SDP design or SDP process. The contents of a memo may be the opinion of the author, not the whole of the SDP.

72. SDP Memo 072: ''SDP Memo 72: Vertical prototyping of the gridding algorithm on GPU'' (Lead Author: Anna Brown):

PDF icon memo_72_gridding_part_1_-_signed.pdf3.09 MB

73. SDP Memo 073: ''SDP Memo 73: Chebyshev polynomial approximation of kernels in w-projection gridding algorithm on GPU'' (Lead Author: Anna Brown):

PDF icon memo_73_cheb_part_1_-_signed.pdf641.91 KB

74. SDP Memo 074: ''SDP Memo 74: Optimisation of the w-projection gridding algorithm for FPGA using Intel OpenCL'' (Lead Author: Anna Brown):

PDF icon memo_74_fpga_part_1_-_signed.pdf365.71 KB

76. SDP Memo 076: ''SDP Memo 076: Improving the efficiency of direct visibility prediction using NVIDIA Pascal and Volta GPUs'' (Lead Author: Karel Adámek):

PDF icon memo_076_part_1_-_signed.pdf555.92 KB

77. SDP Memo 077: ''Using DALiuGE for Distributed SAGECal'' (Lead Author: Feng Wang):

PDF icon sagecal-memo_wang_2018_signed.pdf1.31 MB

78. SDP Memo 078: ''SDP Memo 078: Scalability Testing using DALiuGE on Tianhe-2 and Pawsey'' (Lead Author: Baoqiang Lao):

79. SDP Memo 079: ''Software Prototyping using Precursor Technology, ASKAPSoft, and DALiuGE: A joint ICRAR and CSIRO prototyping Memo'' (Lead Authors: Andreas Wicenec and Juan Carlos Guzman):

80. SDP Memo 080: ''SDP Memo 080: On Scalable Faraday Tomography/Rotation Measure Synthesis for the Square Kilometre Array'' (Lead Author: Stef Salvini):

81. SDP Memo 081: ''SDP Memo 081: Combining Task-Based Parallelism and Platform Services within a Science Pipeline Prototype'' (Lead Author: Jamie Farnes):

83. SDP Memo 083: ''SDP Memo 83: Distribution of the Rau-Cornwell MSMFS algorithm'' (Lead Author: Tim Cornwell):

85. SDP Memo 085: ''SDP Memo 085: PIP.IMG Gridding Algorithms'' (Lead Author: Andrew Ensor):

86. SDP Memo 086: ''SDP Memo 086: SKA-SDP Gridding on Graphical Processing Units'' (Lead Author: NVIDIA Corporation):

87. SDP Memo 087: ''SDP Memo 087: Degridding Optimization for SKA on NVIDIA GPUs'' (Lead Author: NVIDIA Corporation):

88. SDP Memo 088: ''SDP Memo 088: Characterizing FFT performance on GPUs for SKA-SDP'' (Lead Author: NVIDIA Corporation):

89. SDP Memo 089: ''SDP Memo 089: SKA-SDP Reprojection on Graphical Processing Units'' (Lead Author: NVIDIA Corporation):

90. SDP Memo 090: ''SDP Memo 090: Comparison of convolution methods for GPUs'' (Lead Author: NVIDIA Corporation):

91. SDP Memo 091: ''SDP Memo 091: Antenna gain calibration on Graphical Processing Units'' (Lead Author: NVIDIA Corporation):

92. SDP Memo 092: ''SDP Memo 092: The FFT calculation via NVIDIA cuFFT library'' (Lead Author: Karel Adámek):

95. SDP Memo 095: ''SDP Memo 095: Convolutional Gridding Routine: GPU port'' (Lead Author: Samuel F. Antao):

Recent news

After many years of effort, on 31st October 2018, the SDP Consortium submitted its design documentation for Critical Design Review (CDR).


Since the last eNews submission in April 2018, the SDP Consortium successfully submitted a documentation pack of roughly 30 documents for its Pre-CDR, M20, milestone to the SKAO. The documentation pack included key Systems Engineering documents, Interface Control Documents (ICDs) and an updated snapshot of the latest SDP Architecture views since the M19 submission and review in November 2017.

In late June, a two-step review process was undertaken between SDP Consortium representatives and the SKAO M20 review panel. The first step was a documentation review process where the objective was to understand and assess the suitability and risks associated with the SDP design before entering the CDR review process. The second step was a face to face meeting which first analysed the suitability of SDP software architecture to meet the needs of its stakeholders, conducted using the SEI ATAM (Architecture Trade-Off Analysis Method) process and based on scenarios generated previously and then discussed observations made against the documentation pack in the first step.