SADAY SADAYAPPAN

COLLABORATIVE RESEARCH: ELEMENTS: INFRASTRUCTURE FOR HIGH-PERFORMANCE SPARSE TENSOR COMPUTATIONS

AUTONOMOUS STORM DETECTION AND TRACKING SOFTWARE FOR ACTIVE-PIXEL SENSORS

ENABLING NEXT GENERATION MACHINE LEARNING FOR LARGE SCALE IMAGE ANALYSIS

ENABLING EFFICIENT SPARSE COMPUTATIONS ON DATA FLOW HARDWARE USING LINEAR ALGEBRA AWARE COMPILERS

COLLABORATIVE RESEARCH: ACCELERATING THE PACE OF DISCOVERY IN NUMERICAL RELATIVITY BY IMPROVING COMPUTATIONAL EFFICIENCY AND SCALABILITY

A COMPREHENSIVE FRAMEWORK FOR EFFICIENT, SCALABLE, AND PERFORMANCE-PORTABLE TENSOR APPLICATIONS

A COMPREHENSIVE FRAMEWORK FOR EFFICIENT, SCALABLE, AND PERFORMANCE-PORTABLE TENSOR APPLICATIONS

AI INSTITUTE: ICICLE: INTELLIGENT CYBERINFRASTRUCTURE WITH COMPUTATIONAL LEARNING IN THE ENVIRONMENT

AI INSTITUTE: ICICLE: INTELLIGENT CYBERINFRASTRUCTURE WITH COMPUTATIONAL LEARNING IN THE ENVIRONMENT

NEXT- GEN ML

COLLABORATIVE RESEARCH: CDS&E: A FRAMEWORK FOR SOLUTION OF COUPLED PARTIAL DIFFERENTIAL EQUATIONS ON HETEROGENEOUS PARALLEL SYSTEMS

OAC: SMALL: DATA LOCALITY OPTIMIZATION FOR SPARSE MATRIX/TENSOR COMPUTATIONS

TOWARDS HPMLIG

PNNL SADAYAPPAN APPOINTMENT

SPX: COLLABORATIVE RESEARCH: PARALLEL ALGORITHM BY BLOCKS - A DATA-CENTRIC COMPILER/RUNTIME SYSTEM FOR PRODUCTIVE PROGRAMMING OF SCALABLE PARALLEL SYSTEMS

COMPILER-RUNTIME

SHF: Small: Tools for productive high-performance computing with GPUs

Exascale code generation toolkit

EAGER: Towards automated characterization of the data-movement complexity of large scale analytics applications

Performance portable framework for developing graph applications

XPS: FULL: Collaborative Research: PARAGRAPH: Parallel scalable graph analytics

Whole-program adaptive error detection and mitigation

CDS&E: Compiler/runtime support for developing scalable parallel multi-scale multi- physics engineering applications