[
https://issues.apache.org/jira/browse/SYSTEMML-1038?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Niketan Pansare closed SYSTEMML-1038.
-------------------------------------
Resolution: Duplicate
> Add support for aggregate unary operations on GPU
> -------------------------------------------------
>
> Key: SYSTEMML-1038
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1038
> Project: SystemML
> Issue Type: Sub-task
> Components: Compiler, Runtime
> Reporter: Niketan Pansare
> Fix For: SystemML 0.11
>
>
> 1. Update UnaryOp to enable GPU for these instructions.
> 2. Add AggregateUnaryGPUInstruction and invoke kernels corresponding to
> https://github.com/apache/incubator-systemml/blob/master/src/main/java/org/apache/sysml/runtime/matrix/data/MatrixBlock.java#L4451
> Note nrow, ncol and length should always be a CP instruction. Also, we can
> break this into subtasks for sparse if necessary.
> The opcodes related to this tasks are: uak+, uark+, uack+, uasqk+, uarsqk+,
> uacsqk+, uamean, uarmean, uacmean, uavar, uarvar, uacvar, uamax, uarmax,
> uarimax, uacmax, uamin, uarmin, uarimin, uacmin, ua+, uar+, uac+, ua*,
> uatrace, uaktrace and the operations of these are (with/without kahan) sum,
> trace, rowsum, colsum, sum of squares, row sum of squares, col sum of
> squares, cumsum, cumprod, cummin, cummax, min, max, min_index, max_index,
> mean, variance and product.
> [~nakul02] This is a mega-task. Hopefully we can generalize our kernel
> implementation to make this easier.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
