CFV: Project Trinity

[Paul Sandoz]

Hi Karthik,

Along with Valhalla i strongly encourage you to also consider explorations with Project Panama, especially with regards to Intel’s Vector API work (under the Panama remit) and how to surface that at a higher DSL-like level.

Paul.

> On 21 Apr 2017, at 11:28, Karthik Ganesan <karthik.ganesan at oracle.com> wrote:
> 
> Hi,
> 
> I would like to propose the creation of a new Project:
> Project Trinity with myself as the Lead and the Core
> Libraries Group as the Sponsoring Group.
> 
> This Project would explore enhanced execution of bulk
> aggregate calculations over Streams through offloading
> calculations to hardware accelerators.
> 
> Streams allow developers to express calculations such
> that data parallelism can be efficiently exploited. Such
> calculations are prime candidates for leveraging enhanced
> data-oriented instructions on CPUs (such as SIMD
> instructions) or offloading to hardware accelerators
> (such as the SPARC Data Accelerator co-processor, further
> referred to as DAX [1]).
> 
> To identify a path to improving performance and power
> efficiency, Project Trinity will explore how libraries
> like Streams can be enhanced to leverage data processing
> hardware features to execute Streams more efficiently [2].
> 
> Directions for exploration include:
> - Building a streams-like library optimized for offload to
> -- hardware accelerators (such as DAX), or
> -- a GPU, or
> -- SIMD instructions;
> - Optimizations in the Graal compiler to automatically
> transform suitable Streams pipelines, taking advantage
> of data processing hardware features;
> - Explorations with Project Valhalla to expand the
> range of effective acceleration to Streams of value types.
> 
> Success will be evaluated based upon:
> (1) speedups and resource efficiency gains achieved for a
> broad range of representative streams calculations under
> offload,
> (2) ease of use of the hardware acceleration capability, and
> (3) ensuring that there is no time or space overhead for
> non-accelerated calculations.
> 
> The project will host at least the following mailing list:
> - trinity-dev for development discussions and user feedback
> - trinity-design for design and specification discussions
> 
> About the Lead:
> Karthik Ganesan works for Oracle in the Performance and
> Applications Engineering group with more than 5 years of
> experience in Java/Hotspot performance projects [3].
> 
> The initial Reviewers and Committers will be:
> * Ahmed Khawaja
> * Karthik Ganesan
> * Malcolm Kavalsky
> * Shrinivas Joshi
> 
> Votes are due by May 4, 2017.
> 
> Only current OpenJDK Members [4] are eligible to vote on this
> motion.  Votes must be cast in the open on the discuss list.
> Replying to this message is sufficient if your mail program
> honors the Reply-To header.
> 
> For Lazy Consensus voting instructions, see [5].
> 
> Karthik Ganesan
> 
> [1] https://community.oracle.com/docs/DOC-994842
> [2] https://bugs.openjdk.java.net/browse/JDK-8150304
> [3] Karthik Ganesan, Yao-Min Chen and X Pan, “Scaling
> Java Virtual Machine on a Many-core System” at 14th
> International Symposium on Integrated Circuits (ISIC 2014)
> [4] http://openjdk.java.net/census#members
> [5] http://openjdk.java.net/projects/#new-project-vote
> 
>