17 citations · 99 across the 66 of their papers we have counts for
14 papers · 1 filter
SkipKV: Selective Skipping of KV Generation and Storage for Efficient Inference with Large Reasoning Models
Jiayi Tian, Seyedarmin Azizi, Yequan Zhao +7
Large reasoning models (LRMs) often incur significant key-value (KV) cache overhead, due to their linear growth with the verbose chain-of-thought (CoT) reasoning. This incurs both…
SuperSNN: A Hardware-Aware Framework for Physically Realizable, High-Performance Superconducting Spiking Neural Network Chips
Changxu Song, Arda Caliskan, Beyza Zeynep Ucpinar +5
Despite numerous proposed designs for superconducting neural networks (SNNs), most have overlooked practical fabrication constraints, leading to implementations limited to only a f…
Top-H Decoding: Adapting the Creativity and Coherence with Bounded Entropy in Text Generation
Erfan Baghaei Potraghloo, Seyedarmin Azizi, Souvik Kundu +1
Large language models (LLMs), despite their impressive performance across a wide range of tasks, often struggle to balance two competing objectives in open-ended text generation: f…
SCE-NTT: A Hardware Accelerator for Number Theoretic Transform Using Superconductor Electronics
Sasan Razmkhah, Mingye Li, Zeming Cheng +13
This research explores the use of superconductor electronics (SCE) for accelerating fully homomorphic encryption (FHE), focusing on the Number-Theoretic Transform (NTT), a key comp…
Activation Steering for Chain-of-Thought Compression
Seyedarmin Azizi, Erfan Baghaei Potraghloo, Massoud Pedram
Large language models (LLMs) excel at complex reasoning when they include intermediate steps, known as "chains of thought" (CoTs). However, these rationales are often overly verbos…
Optimized Bistable Vortex Memory Arrays for Superconducting In-Memory Matrix-Vector Multiplication
Mustafa Altay Karamuftuoglu, Changxu Song, Beyza Zeynep Ucpinar +2
Building upon previously introduced Bistable Vortex Memory (BVM) as a novel, nonvolatile, high-density, and scalable superconductor memory technology, this work presents a methodol…
ASAP-FE: Energy-Efficient Feature Extraction Enabling Multi-Channel Keyword Spotting on Edge Processors
Jongin Choi, Jina Park, Woojoo Lee +2
Multi-channel keyword spotting (KWS) has become crucial for voice-based applications in edge environments. However, its substantial computational and energy requirements pose signi…
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering
Arya Fayyazi, Mehdi Kamal, Massoud Pedram
This paper introduces MARCO (Multi-Agent Reinforcement learning with Conformal Optimization), a novel hardware-aware framework for efficient neural architecture search (NAS) target…
Scalable Asynchronous Single Flux Quantum Up-Down Counter using Josephson Trapping Lines and α-Cells
Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Sasan Razmkhah +1
We present a scalable, clockless up-down counter architecture implemented using single-flux quantum (SFQ) logic to enable efficient state management in superconductor digital syste…
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair
Arya Fayyazi, Mehdi Kamal, Massoud Pedram
We introduce FAIR-SIGHT, an innovative post-hoc framework designed to ensure fairness in computer vision systems by combining conformal prediction with a dynamic output repair mech…
RocketPPA: Code-Level Power, Performance, and Area Prediction via LLM and Mixture of Experts
Armin Abdollahi, Mehdi Kamal, Massoud Pedram
This paper presents RocketPPA, a novel ultra-fast power, performance (delay), and area (PPA) estimator operating directly at the code-level abstraction using HDL code as input. The…
IC-D2S: A Hybrid Ising-Classical-Machines Data-Driven QUBO Solver Method
Armin Abdollahi, Mehdi Kamal, Massoud Pedram
We present a heuristic algorithm designed to solve Quadratic Unconstrained Binary Optimization (QUBO) problems efficiently. The algorithm, referred to as IC-D2S, leverages a hybrid…
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
Arya Fayyazi, Mehdi Kamal, Massoud Pedram
We propose FACTER, a fairness-aware framework for LLM-based recommendation systems that integrates conformal prediction with dynamic prompt engineering. By introducing an adaptive…
AR-SFQ: Asynchronous Reset Library Using α-Cell Design
Yasemin Kopur, Beyza Zeynep Ucpinar, Mustafa Altay Karamuftuoglu +2
Rapid Single Flux Quantum (RSFQ) circuits are the most evolved superconductor logic family. However, the need to clock each cell and the deep pipeline causes a complex clock networ…