activity
20162026
most citedCODA: Enabling Co-location of Computation and Data for Near-Data Processing

25 citations · 44 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Lindblad Multiproduct Formulas

Niall F. Robertson, Andrea D'Urbano, Anton Dekusar +11

We introduce Lindblad Multiproduct Formulas: a quantum error mitigation technique that uses two-dimensional tensor networks contracted with loop-corrected belief propagation. The q…

quant-ph2026

Quantum-HPC Software Stacks and the openQSE Reference Architecture: A Survey

Amir Shehata, Brian Austin, Tom Beck +22

Quantum resources are increasingly integrated into high-performance computing (HPC) and cloud environments, but quantum high-performance computing (QHPC) software stacks remain iso…

cs.ET2026

Scaling Sample-Based Quantum Diagonalization on GPU-Accelerated Systems using OpenMP Offload

Robert Walkup, Juha Jäykkä, Igor Pasichnyk +14

Hybrid quantum-HPC algorithms advance research by delegating complex tasks to quantum processors and using HPC systems to orchestrate workflows and complementary computations. Samp…

cs.ET2021★ 10 cited

Accelerating Variational Quantum Algorithms Using Circuit Concurrency

Salonik Resch, Anthony Gutierrez, Joon Suk Huh +5

Variational quantum algorithms (VQAs) provide a promising approach to achieve quantum advantage in the noisy intermediate-scale quantum era. In this era, quantum computers experien…

cs.AR2018★ 4 cited

Implications of Integrated CPU-GPU Processors on Thermal and Power Management Techniques

Kapil Dev, Indrani Paul, Wei Huang +3

Heterogeneous processors with architecturally different cores (CPU and GPU) integrated on the same die lead to new challenges and opportunities for thermal and power management tec…

cs.AR2017★ 25 cited

CODA: Enabling Co-location of Computation and Data for Near-Data Processing

Hyojong Kim, Ramyad Hadidi, Lifeng Nai +5

Recent studies have demonstrated that near-data processing (NDP) is an effective technique for improving performance and energy efficiency of data-intensive workloads. However, lev…

cs.AR2016★ 5 cited

Enabling Efficient Dynamic Resizing of Large DRAM Caches via A Hardware Consistent Hashing Mechanism

Kevin K. Chang, Gabriel H. Loh, Mithuna Thottethodi +6

Die-stacked DRAM has been proposed for use as a large, high-bandwidth, last-level cache with hundreds or thousands of megabytes of capacity. Not all workloads (or phases) can produ…