39 citations · 40 across the 9 of their papers we have counts for
10 papers
Prefill/Decode-Aware Evaluation of LLM Inference on Emerging AI Accelerators
Shun Usami, Venkatram Vishwanath, E. Wes Bethel
As large language models (LLMs) are increasingly deployed in latency- and cost-sensitive settings, inference efficiency has become a central systems challenge. While GPUs dominate…
Intelligent IoT Attack Detection Design via ODLLM with Feature Ranking-based Knowledge Base
Satvik Verma, Qun Wang, E. Wes Bethel
The widespread adoption of Internet of Things (IoT) devices has introduced significant cybersecurity challenges, particularly with the increasing frequency and sophistication of Di…
Circuit Partitioning and Full Circuit Execution: A Comparative Study of GPU-Based Quantum Circuit Simulation
Kartikey Sarode, Daniel E. Huang, E. Wes Bethel
Executing large quantum circuits is not feasible using the currently available NISQ (noisy intermediate-scale quantum) devices. The high costs of using real quantum devices make it…
EHands: Quantum Protocol for Polynomial Computation on Real-Valued Encoded States
Jan Balewski, C. Pestano, Mercy G. Amankwah +3
We present EHands, a quantum-native protocol for implementing multivariable polynomial transformations on quantum processors. The protocol introduces four fundamental, reversible o…
From Bits to Qubits: Challenges in Classical-Quantum Integration
Sudhanshu Pravin Kulkarni, Daniel E. Huang, E. Wes Bethel
While quantum computing holds immense potential for tackling previously intractable problems, its current practicality remains limited. A critical aspect of realizing quantum utili…
Quantum Computing and Visualization: A Disruptive Technological Change Ahead
E. Wes Bethel, Mercy G. Amankwah, Jan Balewski +4
The focus of this Visualization Viewpoints article is to provide some background on Quantum Computing (QC), to explore ideas related to how visualization helps in understanding QC,…
Quantum-parallel vectorized data encodings and computations on trapped-ions and transmons QPUs
Jan Balewski, Mercy G. Amankwah, Roel Van Beeumen +3
Compact quantum data representations are essential to the emerging field of quantum algorithms for data analysis. We introduce two new data encoding schemes, QCrank and QBArt, whic…
Quantum pixel representations and compression for -dimensional images
Mercy G. Amankwah, Daan Camps, E. Wes Bethel +2
We introduce a novel and uniform framework for quantum pixel representations that overarches many of the most popular representations proposed in the recent literature, such as (I)…
Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels
E. Wes Bethel, David Camp, Talita Perciano +1
Measurements of absolute runtime are useful as a summary of performance when studying parallel visualization and analysis methods on computational platforms of increasing concurren…
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives
Brenton Lessley, Talita Perciano, Colleen Heinemann +3
We present a new parallel algorithm for probabilistic graphical model optimization. The algorithm relies on data-parallel primitives (DPPs), which provide portable performance over…