Yasuko Eckert

Accelerating Variational Quantum Algorithms Using Circuit Concurrency

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

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

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

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

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 techniques because...

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

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 productively utilize...

DUB: dynamic underclocking and bypassing in nocs for heterogeneous GPU workloads

Interconnect-Memory Challenges for Multi-chip, Silicon Interposer Systems

Something old and something new: P-states can borrow microarchitecture techniques too

A Research Retrospective on AMD's Exascale Computing Journey

Analyzing and Leveraging Shared L1 Caches in GPUs

Analyzing and Leveraging Decoupled L1 Caches in GPUs

Increasing TLB reach by exploiting clustering in page translations

Design and Analysis of an APU for Exascale Computing

Experiences with ML-Driven Design: A NoC Case Study

A comparison of core power gating strategies implemented in modern hardware

Prefetching Techniques for Near-memory Throughput Processors

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

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

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

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