Sensitivity-Guided Framework for Pruned and Quantized Reservoir Computing Accelerators
Fuente:
arXiv
Saved in:
| Main Authors: | Jafari, Atousa, Taheri, Mahdi, Mohammadi, Hassan Ghasemzadeh, Herglotz, Christian, Platzner, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PhD Thesis Summary: Methods for Reliability Assessment and Enhancement of Deep Neural Network Hardware Accelerators
by: Taheri, Mahdi
Published: (2026)
by: Taheri, Mahdi
Published: (2026)
An Evaluation and Comparison of GPU Hardware and Solver Libraries for Accelerating the OPM Flow Reservoir Simulator
by: Qiu, Tong Dong, et al.
Published: (2023)
by: Qiu, Tong Dong, et al.
Published: (2023)
Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs
by: Zhang, Qijun, et al.
Published: (2026)
by: Zhang, Qijun, et al.
Published: (2026)
The DMA Streaming Framework: Kernel-Level Buffer Orchestration for High-Performance AI Data Paths
by: Graziano, Marco
Published: (2026)
by: Graziano, Marco
Published: (2026)
CCSS: Hardware-Accelerated RTL Simulation with Fast Combinational Logic Computing and Sequential Logic Synchronization
by: Feng, Weigang, et al.
Published: (2025)
by: Feng, Weigang, et al.
Published: (2025)
Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing
by: Ma, Ke, et al.
Published: (2025)
by: Ma, Ke, et al.
Published: (2025)
DP-HLS: A High-Level Synthesis Framework for Accelerating Dynamic Programming Algorithms in Bioinformatics
by: Cao, Yingqi, et al.
Published: (2024)
by: Cao, Yingqi, et al.
Published: (2024)
Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL
by: Meyer, Marius, et al.
Published: (2024)
by: Meyer, Marius, et al.
Published: (2024)
SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators
by: Li, Jonathan, et al.
Published: (2025)
by: Li, Jonathan, et al.
Published: (2025)
HLS4PC: A Parametrizable Framework For Accelerating Point-Based 3D Point Cloud Models on FPGA
by: Pal, Amur Saqib, et al.
Published: (2025)
by: Pal, Amur Saqib, et al.
Published: (2025)
Cloud to Edge: Benchmarking LLM Inference On Hardware-Accelerated Single-Board Computers
by: Renney, Harri, et al.
Published: (2026)
by: Renney, Harri, et al.
Published: (2026)
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2024)
by: Wijeratne, Sasindu, et al.
Published: (2024)
Leveraging SIMD for Accelerating Large-number Arithmetic
by: Das, Subhrajit, et al.
Published: (2026)
by: Das, Subhrajit, et al.
Published: (2026)
DCO: Dynamic Cache Orchestration for LLM Accelerators through Predictive Management
by: Zhou, Zhongchun, et al.
Published: (2025)
by: Zhou, Zhongchun, et al.
Published: (2025)
Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
by: Elwasif, Wael, et al.
Published: (2022)
by: Elwasif, Wael, et al.
Published: (2022)
Accelerating Triangle Counting with Real Processing-in-Memory Systems
by: Asquini, Lorenzo, et al.
Published: (2025)
by: Asquini, Lorenzo, et al.
Published: (2025)
Balanced Data Placement for GEMV Acceleration with Processing-In-Memory
by: Ibrahim, Mohamed Assem, et al.
Published: (2024)
by: Ibrahim, Mohamed Assem, et al.
Published: (2024)
Memory-Centric Computing: Solving Computing's Memory Problem
by: Mutlu, Onur, et al.
Published: (2025)
by: Mutlu, Onur, et al.
Published: (2025)
Tangram: Accelerating Serverless LLM Loading through GPU Memory Reuse and Affinity
by: Zhu, Wenbin, et al.
Published: (2025)
by: Zhu, Wenbin, et al.
Published: (2025)
Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator
by: Peccia, Federico Nicolas, et al.
Published: (2024)
by: Peccia, Federico Nicolas, et al.
Published: (2024)
Accelerating Data Chunking in Deduplication Systems using Vector Instructions
by: Udayashankar, Sreeharsha, et al.
Published: (2025)
by: Udayashankar, Sreeharsha, et al.
Published: (2025)
RedFuser: An Automatic Operator Fusion Framework for Cascaded Reductions on AI Accelerators
by: Tang, Xinsheng, et al.
Published: (2026)
by: Tang, Xinsheng, et al.
Published: (2026)
Enabling Accelerators for Graph Computing
by: Shivdikar, Kaustubh
Published: (2023)
by: Shivdikar, Kaustubh
Published: (2023)
A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models
by: Sharma, Harsh, et al.
Published: (2023)
by: Sharma, Harsh, et al.
Published: (2023)
Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training
by: Adnan, Muhammad, et al.
Published: (2024)
by: Adnan, Muhammad, et al.
Published: (2024)
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs
by: Prakriya, Neha, et al.
Published: (2023)
by: Prakriya, Neha, et al.
Published: (2023)
Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems
by: Zhang, Chen, et al.
Published: (2026)
by: Zhang, Chen, et al.
Published: (2026)
Design in Tiles: Automating GEMM Deployment on Tile-Based Many-PE Accelerators
by: Shen, Aofeng, et al.
Published: (2025)
by: Shen, Aofeng, et al.
Published: (2025)
FLEX: Leveraging FPGA-CPU Synergy for Mixed-Cell-Height Legalization Acceleration
by: Liu, Xingyu, et al.
Published: (2025)
by: Liu, Xingyu, et al.
Published: (2025)
MVDRAM: Enabling GeMV Execution in Unmodified DRAM for Low-Bit LLM Acceleration
by: Kubo, Tatsuya, et al.
Published: (2025)
by: Kubo, Tatsuya, et al.
Published: (2025)
CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories
by: Shi, Man, et al.
Published: (2024)
by: Shi, Man, et al.
Published: (2024)
DiP: A Scalable, Energy-Efficient Systolic Array for Matrix Multiplication Acceleration
by: Abdelmaksoud, Ahmed J., et al.
Published: (2024)
by: Abdelmaksoud, Ahmed J., et al.
Published: (2024)
EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer
by: Chen, Yi, et al.
Published: (2025)
by: Chen, Yi, et al.
Published: (2025)
Heterogeneous Computing: The Key to Powering the Future of AI Agent Inference
by: Zhao, Yiren, et al.
Published: (2026)
by: Zhao, Yiren, et al.
Published: (2026)
Automated Deep Neural Network Inference Partitioning for Distributed Embedded Systems
by: Kreß, Fabian, et al.
Published: (2024)
by: Kreß, Fabian, et al.
Published: (2024)
F-BFQ: Flexible Block Floating-Point Quantization Accelerator for LLMs
by: Haris, Jude, et al.
Published: (2025)
by: Haris, Jude, et al.
Published: (2025)
A Survey of Real-time Scheduling on Accelerator-based Heterogeneous Architecture for Time Critical Applications
by: Zou, An, et al.
Published: (2025)
by: Zou, An, et al.
Published: (2025)
A Lightweight High-Throughput Collective-Capable NoC for Large-Scale ML Accelerators
by: Colagrande, Luca, et al.
Published: (2026)
by: Colagrande, Luca, et al.
Published: (2026)
Revisiting Computational Storage for Data Integrity and Security
by: Shi, Chao, et al.
Published: (2025)
by: Shi, Chao, et al.
Published: (2025)
SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
by: Xu, Weihong, et al.
Published: (2025)
by: Xu, Weihong, et al.
Published: (2025)
Similar Items
-
PhD Thesis Summary: Methods for Reliability Assessment and Enhancement of Deep Neural Network Hardware Accelerators
by: Taheri, Mahdi
Published: (2026) -
An Evaluation and Comparison of GPU Hardware and Solver Libraries for Accelerating the OPM Flow Reservoir Simulator
by: Qiu, Tong Dong, et al.
Published: (2023) -
Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs
by: Zhang, Qijun, et al.
Published: (2026) -
The DMA Streaming Framework: Kernel-Level Buffer Orchestration for High-Performance AI Data Paths
by: Graziano, Marco
Published: (2026) -
CCSS: Hardware-Accelerated RTL Simulation with Fast Combinational Logic Computing and Sequential Logic Synchronization
by: Feng, Weigang, et al.
Published: (2025)