[ https://issues.apache.org/jira/browse/SYSTEMML-1039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Nakul Jindal updated SYSTEMML-1039: ----------------------------------- Fix Version/s: SystemML 1.0 > Add support for aggregate unary operations on GPU > ------------------------------------------------- > > Key: SYSTEMML-1039 > URL: https://issues.apache.org/jira/browse/SYSTEMML-1039 > Project: SystemML > Issue Type: Sub-task > Components: Compiler, Runtime > Environment: 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. > Reporter: Niketan Pansare > Assignee: Nakul Jindal > Fix For: SystemML 1.0 > > -- This message was sent by Atlassian JIRA (v6.3.15#6346)