International Business Machines Corporation

Intel Corporation

Ganesh Bikshandi

Daehyun Kim

Christopher J Hughes

Jong Soo Park

Vijay Anand Saraswat

Dibyendu Das

Richard M Yoo

Igor Peshansky

Krishna Nandivada Venkata

Smruti Ranjan Sarangi

A processing device comprises a processing device cache and a cache controller. The cache controller initiates a cache line eviction process and determines determine an object liveness value associated with a cache line in the processing device cache. The cache controller applies the object liveness value to a cache line eviction policy and evicts the cache line from the processing device cache based on the object liveness value and the cache line eviction policy.

Object liveness tracking for use in processing device cache

Technologies for optimizing complex exponential calculations include a computing device with optimizing compiler. The compiler parses source code, optimizes the parsed representation of the source code, and generates output code. During optimization, the compiler identifies a loop in the source code including a call to the exponential function having an argument that is a loop-invariant complex number multiplied by the loop index variable. The compiler tiles the loop to generate a pair of nested loops. The compiler generates code to pre-compute the exponential function and store the resulting values in a pair of coefficient arrays. The size of each coefficient array may be equal to the square root of the number of loop iterations. The compiler applies rewrite rules to replace the exponential function call with a multiplicative expression of one element from each of the coefficient arrays. Other embodiments are described and claimed.

Compiler optimization for complex exponential calculations

Systems and methods for replacing inferior code segments with optimal code segments. Systems and methods for making such replacements for programming languages using Message Passing Interface (MPI) are provided. For example, at the compiler level, point-to-point code segments may be identified and replaced with all-to-all code segments. Programming code may include X10, Chapel and other programming languages that support parallel for loop.

Systems and methods for automatically optimizing high performance computing programming languages

A method, a system and a computer program product for effectively accelerating loop iterators using speculative execution of iterators. An Efficient Loop Iterator (ELI) utility detects initiation of a target program and initiates/spawns a speculative iterator thread at the start of the basic code block ahead of the code block that initiates a nested loop. The ELI utility assigns the iterator thread to a dedicated processor in a multi-processor system. The speculative thread runs/executes ahead of the execution of the nested loop and calculates indices in a corresponding multidimensional array. The iterator thread adds all the precomputed indices to a single queue. As a result, the ELI utility effectively enables a multidimensional loop to be replaced by a single dimensional loop. At the beginning of (or during) each iteration of the iterator, the ELI utility 'dequeues' an entry from the queue to use the entry to access the array upon which the ELI utility iterates. The ELI utility performs concurrent iterations on the array by using the queue entries.

Accelerating generic loop iterators using speculative execution

Growing community of inventors

Bengaluru, India

Ganesh Bikshandi