SystemML 1.2.0 Release Notes
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Apache SystemDS™ 1.2.0 Release Notes
The Apache SystemML 1.2.0 release was approved on Aug. 24th, 2018. The release includes enhancements, features, and additions as listed below.
New Builtin Functions/Operations/Scripts/Features
Factorization Machines
Support for functions with default parameters
exists() for checking of existing variables
Triangular matrix functions: lower.tri() and upper.tri()
New nary min/max operations
as.matrix() over list of scalars
Function calls with named function arguments
Convolution operations (forward/backward)
Maxpooling operations (forward)
Support for bias_add and bias_mult
Global constants
Added support for rowProd/colProd
DML eval function
New data type list for lists and structs
API
JMLC API extension for passing multiple dml scripts
Compiler & Runtime
Code motion framework
Global subexpression elimination
Optional rewrite for hoisting loop-invariant operations
Improved IPA constant propagation and replacement
ParFor Data Partitioning Rewrite on Hops instead of Statements
New rewrites for chains of comparisons
Extended rewrite framework for codegen plans
Improved parfor optimizer rewrite for in-place-update
Rework function block recompilation
Support rowMeans in codegen row templates
Performance Improvements
Improved multi-threading of unary aggregates
Reuse of fair scheduler pools in local parfor workers
Performance issues Spark ctable(X,Y) w/ large num distinct
Performance instruction generation
Performance sample operations
Performance ultra-sparse block operations
New native tsmm operator and its integration
Multi-threaded unary operations (e.g., exp, log, sigmoid)
Bug Fixes
Memory leak buffer pool due to missing variable cleanup
Missing buffer pool serialization of compressed matrices
Compilation failure on inferring size of reshapes w/ zero rows/columns
Incorrect result for min/max over matrices with NaNs
Missing support for external functions with variable number of outputs
Reblock ultra-sparse matrix fails with index out of bounds
Performance issue CSE on DAGs w/ many root nodes (e.g., resnet200)
Non-fused bias_add builtin creates incorrect results over sparse inputs
Inconsistent namespace naming depending on OS
Codegen failing on three-way multi-aggregate
Codegen optimizer failing for MLogreg special cases
Failing matrix market to binary reblock with zero rows/columns
Deprecated/Removed/Cleanup
Opt level 4
File-based removeEmpty()
Cleanup exception handling apis/compiler/runtime
Experimental
Parameter server: local backend and distributed
Sparsity estimators
JIRA release notes
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