Intel Corporation

Daniel Woodworth

Rakesh Krishnaiyer

Kent D Glossop

Joshua Cranmer

Rajiv Deodhar

Charles R Yount

Arvind Sudarsanam

Timothy Creech

Dounia Khaldi

Sergey Dmitriev

Methods, apparatus, systems and articles of manufacture (e.g., computer readable storage media) to perform automatic compiler optimization to enable streaming-store generation for unaligned contiguous write access are disclosed. Example apparatus disclosed herein are to mark a store instruction in source program code as a transformation candidate when the store instruction is associated with a group of memory accesses that are unaligned with respect to a size of a cache line in a cache. Disclosed apparatus are also to transform the store instruction that is marked as the transformation candidate to form transformed program code when a non-temporal property is satisfied, the transformed program code to replace the store instruction with (i) a write to a buffer in the cache and (ii) a streaming-store instruction that is to write contents of the buffer to memory.

Methods and apparatus to perform automatic compiler optimization to enable streaming-store generation for unaligned contiguous write access

Systems, apparatuses and methods may provide for technology that detects one or more local variables in source code, wherein the local variable(s) lack dependencies across iterations of a loop in the source code, automatically generate pipeline execution code for the local variable(s), and incorporate the pipeline execution code into an output of a compiler. In one example, the pipeline execution code includes an initialization of a pool of buffer storage for the local variable(s).

Automatic compiler dataflow optimization to enable pipelining of loops with local storage requirements

Various embodiments are generally directed to optimizing dataflow in automated transformation frameworks (e.g., compiler, runtime, etc.) for spatial architectures (e.g., Configurable Spatial Accelerator) that translate high-level user code into forms that use 'streams' (e.g., Latency Insensitive Channels, line buffers) to reduce overhead, eliminate or improve the efficiency of redundant memory accesses, and improve overall throughput.

Integration of automated complier dataflow optimizations

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Hudson, MA, United States of America

Daniel Woodworth