2 citations · 3 across the 5 of their papers we have counts for
5 papers
PIMID: A Full-System Simulator with Intricacy and Diversity for Processing-in-Memory
Yuan He, Masaaki Kondo, Galen M. Shipman +3
Processing-in-Memory addresses the memory wall by co-locating computation with memory, but because real PIM hardware remains scarce, simulation is the primary way to explore the PI…
LAAFD: LLM-based Agents for Accelerated FPGA Design
Maxim Moraru, Kamalavasan Kamalakkannan, Jered Dominguez-Trujillo +6
FPGAs offer high performance, low latency, and energy efficiency for accelerated computing, yet adoption in scientific and edge settings is limited by the specialized hardware expe…
Bridging Simulation and Silicon: A Study of RISC-V Hardware and FireSim Simulation
Atanu Barai, Kamalavasan Kamalakkannan, Patrick Diehl +6
RISC-V ISA-based processors have recently emerged as both powerful and energy-efficient computing platforms. The release of the MILK-V Pioneer marked a significant milestone as the…
From Legacy Fortran to Portable Kokkos: An Autonomous Agentic AI Workflow
Sparsh Gupta, Kamalavasan Kamalakkannan, Maxim Moraru +2
Scientific applications continue to rely on legacy Fortran codebases originally developed for homogeneous, CPU-based systems. As High-Performance Computing (HPC) shifts toward hete…
DX100: A Programmable Data Access Accelerator for Indirection
Alireza Khadem, Kamalavasan Kamalakkannan, Zhenyan Zhu +8
Indirect memory accesses frequently appear in applications where memory bandwidth is a critical bottleneck. Prior indirect memory access proposals, such as indirect prefetchers, ru…