5 citations · 6 across the 3 of their papers we have counts for
4 papers
RLIBM-32: High Performance Correctly Rounded Math Libraries for 32-bit Floating Point Representations
Jay P. Lim, Santosh Nagarakatte
This paper proposes a set of techniques to develop correctly rounded math libraries for 32-bit float and posit types. It enhances our RLibm approach that frames the problem of gene…
A Novel Approach to Generate Correctly Rounded Math Libraries for New Floating Point Representations
Jay P. Lim, Mridul Aanjaneya, John Gustafson +1
Given the importance of floating-point~(FP) performance in numerous domains, several new variants of FP and its alternatives have been proposed (e.g., Bfloat16, TensorFloat32, and…
Synergistic CPU-FPGA Acceleration of Sparse Linear Algebra
Mohammadreza Soltaniyeh, Richard P. Martin, Santosh Nagarakatte
This paper describes REAP, a software-hardware approach that enables high performance sparse linear algebra computations on a cooperative CPU-FPGA platform. REAP carefully separate…
A Fast Causal Profiler for Task Parallel Programs
Adarsh Yoga, Santosh Nagarakatte
This paper proposes TASKPROF, a profiler that identifies parallelism bottlenecks in task parallel programs. It leverages the structure of a task parallel execution to perform fine-…