Saved in:
| Main Authors: | Ray, Yudhajit, Ghosh, Archisman, Sen, Shreyas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.16310 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Toward designing workload-aware Surface Code Architectures
by: Ghosh, Archisman, et al.
Published: (2026)
by: Ghosh, Archisman, et al.
Published: (2026)
No Tile Left Behind: Multiprogramming for Surface-Code Architectures
by: Ghosh, Archisman, et al.
Published: (2026)
by: Ghosh, Archisman, et al.
Published: (2026)
Survival of the Optimized: An Evolutionary Approach to T-depth Reduction
by: Ghosh, Archisman, et al.
Published: (2025)
by: Ghosh, Archisman, et al.
Published: (2025)
A 950 MHz SIMT Soft Processor
by: Langhammer, Martin, et al.
Published: (2025)
by: Langhammer, Martin, et al.
Published: (2025)
Enhanced Hybrid Temporal Computing Using Deterministic Summations for Ultra-Low-Power Accelerators
by: Sachdeva, Sachin, et al.
Published: (2025)
by: Sachdeva, Sachin, et al.
Published: (2025)
Ultra8T: A Sub-Threshold 8T SRAM with Leakage Detection
by: Shen, Shan, et al.
Published: (2023)
by: Shen, Shan, et al.
Published: (2023)
Guardians of the Quantum GAN
by: Ghosh, Archisman, et al.
Published: (2024)
by: Ghosh, Archisman, et al.
Published: (2024)
M100: An Orchestrated Dataflow Architecture Powering General AI Computing
by: Xie, Yan, et al.
Published: (2026)
by: Xie, Yan, et al.
Published: (2026)
Switch-Less Dragonfly on Wafers: A Scalable Interconnection Architecture based on Wafer-Scale Integration
by: Feng, Yinxiao, et al.
Published: (2024)
by: Feng, Yinxiao, et al.
Published: (2024)
SPARQLe: Sub-Precision Activation Representation for Quantized LLM Inference
by: Parvathy, Aradhana Mohan, et al.
Published: (2026)
by: Parvathy, Aradhana Mohan, et al.
Published: (2026)
HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads
by: Negi, Shubham, et al.
Published: (2024)
by: Negi, Shubham, et al.
Published: (2024)
Transimpedance Amplifier with Automatic Gain Control Based on Memristors for Optical Signal Acquisition
by: Hodisan, Sariel, et al.
Published: (2024)
by: Hodisan, Sariel, et al.
Published: (2024)
Design and Performance Analysis of an Ultra-Low Power Integrate-and-Fire Neuron Circuit Using Nanoscale Side-contacted Field Effect Diode Technology
by: Motaman, Seyedmohamadjavad, et al.
Published: (2024)
by: Motaman, Seyedmohamadjavad, et al.
Published: (2024)
COmPOSER: Circuit Optimization of mm-wave/RF circuits with Performance-Oriented Synthesis for Efficient Realizations
by: Ghosh, Subhadip, et al.
Published: (2026)
by: Ghosh, Subhadip, et al.
Published: (2026)
Ultra Low-Power SDM-based Circuit-Switching for Networks-on-Chip
by: Zaeemi, Meysam, et al.
Published: (2026)
by: Zaeemi, Meysam, et al.
Published: (2026)
A Reconfigurable Computing In-Memory Macro with Charge-sharing-based Weighted Accumulator
by: Yang, Junyi, et al.
Published: (2026)
by: Yang, Junyi, et al.
Published: (2026)
Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation
by: Newkirk, Alex C., et al.
Published: (2025)
by: Newkirk, Alex C., et al.
Published: (2025)
Latch Based Design for Fast Voltage Droop Response
by: Srinivas, Shreyas, et al.
Published: (2025)
by: Srinivas, Shreyas, et al.
Published: (2025)
SparseDPD: A Sparse Neural Network-based Digital Predistortion FPGA Accelerator for RF Power Amplifier Linearization
by: Versluis, Manno, et al.
Published: (2025)
by: Versluis, Manno, et al.
Published: (2025)
RFAmpDesigner: A Self-Evolving Multi-Agent LLM Framework for Automated Radio Frequency Amplifier Design
by: Lu, Hang, et al.
Published: (2026)
by: Lu, Hang, et al.
Published: (2026)
MXFormer: A Microscaling Floating-Point Charge-Trap Transistor Compute-in-Memory Transformer Accelerator
by: Karfakis, George, et al.
Published: (2026)
by: Karfakis, George, et al.
Published: (2026)
HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC
by: Valente, Luca, et al.
Published: (2022)
by: Valente, Luca, et al.
Published: (2022)
PELS: A Lightweight and Flexible Peripheral Event Linking System for Ultra-Low Power IoT Processors
by: Ottaviano, Alessandro, et al.
Published: (2023)
by: Ottaviano, Alessandro, et al.
Published: (2023)
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators
by: Machetti, Simone, et al.
Published: (2024)
by: Machetti, Simone, et al.
Published: (2024)
Blink: Fast Automated Design of Run-Time Power Monitors on FPGA-Based Computing Platforms
by: Galimberti, Andrea, et al.
Published: (2024)
by: Galimberti, Andrea, et al.
Published: (2024)
A Logic-Reuse Approach to Nibble-based Multiplier Design for Low Power Vector Computing
by: Chowdhury, Md Rownak Hossain, et al.
Published: (2026)
by: Chowdhury, Md Rownak Hossain, et al.
Published: (2026)
LIMCA: LLM for Automating Analog In-Memory Computing Architecture Design Exploration
by: Vungarala, Deepak, et al.
Published: (2025)
by: Vungarala, Deepak, et al.
Published: (2025)
Benchmarking Ultra-Low-Power $μ$NPUs
by: Millar, Josh, et al.
Published: (2025)
by: Millar, Josh, et al.
Published: (2025)
SiTe CiM: Signed Ternary Computing-in-Memory for Ultra-Low Precision Deep Neural Networks
by: Thakuria, Niharika, et al.
Published: (2024)
by: Thakuria, Niharika, et al.
Published: (2024)
A DSP shared is a DSP earned: HLS Task-Level Multi-Pumping for High-Performance Low-Resource Designs
by: Brignone, Giovanni, et al.
Published: (2023)
by: Brignone, Giovanni, et al.
Published: (2023)
In-Pipeline Integration of Digital In-Memory-Computing into RISC-V Vector Architecture to Accelerate Deep Learning
by: Spagnolo, Tommaso, et al.
Published: (2026)
by: Spagnolo, Tommaso, et al.
Published: (2026)
Small Logic-based Multipliers with Incomplete Sub-Multipliers for FPGAs
by: Böttcher, Andreas, et al.
Published: (2024)
by: Böttcher, Andreas, et al.
Published: (2024)
A 0.96pJ/SOP, 30.23K-neuron/mm^2 Heterogeneous Neuromorphic Chip With Fullerene-like Interconnection Topology for Edge-AI Computing
by: Zhou, P. J., et al.
Published: (2024)
by: Zhou, P. J., et al.
Published: (2024)
GEM3D CIM General Purpose Matrix Computation Using 3D Integrated SRAM eDRAM Hybrid Compute In Memory on Memory Architecture
by: Chakraborty, Subhradip, et al.
Published: (2026)
by: Chakraborty, Subhradip, et al.
Published: (2026)
AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors
by: Purayil, Navaneeth Kunhi, et al.
Published: (2025)
by: Purayil, Navaneeth Kunhi, et al.
Published: (2025)
On the Excitability of Ultra-Low-Power CMOS Analog Spiking Neurons
by: Van Brandt, Léopold, et al.
Published: (2025)
by: Van Brandt, Léopold, et al.
Published: (2025)
AutoPower: Automated Few-Shot Architecture-Level Power Modeling by Power Group Decoupling
by: Zhang, Qijun, et al.
Published: (2025)
by: Zhang, Qijun, et al.
Published: (2025)
Neuromorphic Computing for Low-Power Artificial Intelligence
by: Katti, Keshava, et al.
Published: (2026)
by: Katti, Keshava, et al.
Published: (2026)
DX100: A Programmable Data Access Accelerator for Indirection
by: Khadem, Alireza, et al.
Published: (2025)
by: Khadem, Alireza, et al.
Published: (2025)
An Analog and Digital Hybrid Attention Accelerator for Transformers with Charge-based In-memory Computing
by: Moradifirouzabadi, Ashkan, et al.
Published: (2024)
by: Moradifirouzabadi, Ashkan, et al.
Published: (2024)
Similar Items
-
Toward designing workload-aware Surface Code Architectures
by: Ghosh, Archisman, et al.
Published: (2026) -
No Tile Left Behind: Multiprogramming for Surface-Code Architectures
by: Ghosh, Archisman, et al.
Published: (2026) -
Survival of the Optimized: An Evolutionary Approach to T-depth Reduction
by: Ghosh, Archisman, et al.
Published: (2025) -
A 950 MHz SIMT Soft Processor
by: Langhammer, Martin, et al.
Published: (2025) -
Enhanced Hybrid Temporal Computing Using Deterministic Summations for Ultra-Low-Power Accelerators
by: Sachdeva, Sachin, et al.
Published: (2025)