SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators
Fuente:
arXiv
Saved in:
| Main Authors: | Umuroglu, Yaman, Berganski, Christoph, Jentzsch, Felix, Danilowicz, Michal, Kryjak, Tomasz, Bezaitis, Charalampos, Sjalander, Magnus, Colbert, Ian, Preusser, Thomas, Petri-Koenig, Jakoba, Blott, Michaela |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A2Q+: Improving Accumulator-Aware Weight Quantization
by: Colbert, Ian, et al.
Published: (2024)
by: Colbert, Ian, et al.
Published: (2024)
FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs
by: Khandelwal, Shashwat, et al.
Published: (2025)
by: Khandelwal, Shashwat, et al.
Published: (2025)
Real-Time Multi-Object Tracking using YOLOv8 and SORT on a SoC FPGA
by: Danilowicz, Michal, et al.
Published: (2025)
by: Danilowicz, Michal, et al.
Published: (2025)
DAE4HLS: Exposing Memory-Level Parallelism for High-Level Synthesis using Explicit Decoupling
by: Metz, David, et al.
Published: (2026)
by: Metz, David, et al.
Published: (2026)
Improving Quantization with Post-Training Model Expansion
by: Franco, Giuseppe, et al.
Published: (2025)
by: Franco, Giuseppe, et al.
Published: (2025)
FPGA & VPU Co-Processing in Space Applications: Development and Testing with DSP/AI Benchmarks
by: Leon, Vasileios, et al.
Published: (2025)
by: Leon, Vasileios, et al.
Published: (2025)
R-HLS: An IR for Dynamic High-Level Synthesis and Memory Disambiguation based on Regions and State Edges
by: Metz, David, et al.
Published: (2024)
by: Metz, David, et al.
Published: (2024)
ShadowBinding: Realizing Effective Microarchitectures for In-Core Secure Speculation Schemes
by: Kvalsvik, Amund Bergland, et al.
Published: (2025)
by: Kvalsvik, Amund Bergland, et al.
Published: (2025)
LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR data
by: Lis, Konrad, et al.
Published: (2025)
by: Lis, Konrad, et al.
Published: (2025)
Optimizing Energy Efficiency in Subthreshold RISC-V Cores
by: Djupdal, Asbjørn, et al.
Published: (2025)
by: Djupdal, Asbjørn, et al.
Published: (2025)
A High-Throughput FPGA Accelerator for Lightweight CNNs With Balanced Dataflow
by: Zhao, Zhiyuan, et al.
Published: (2024)
by: Zhao, Zhiyuan, et al.
Published: (2024)
Hardware-Aware Feature Extraction Quantisation for Real-Time Visual Odometry on FPGA Platforms
by: Wasala, Mateusz, et al.
Published: (2025)
by: Wasala, Mateusz, et al.
Published: (2025)
Combining Fault Tolerance Techniques and COTS SoC Accelerators for Payload Processing in Space
by: Leon, Vasileios, et al.
Published: (2025)
by: Leon, Vasileios, et al.
Published: (2025)
A Composable Dynamic Sparse Dataflow Architecture for Efficient Event-based Vision Processing on FPGA
by: Gao, Yizhao, et al.
Published: (2024)
by: Gao, Yizhao, et al.
Published: (2024)
A Persistent-State Dataflow Accelerator for Memory-Bound Linear Attention Decode on FPGA
by: Gupta, Neelesh, et al.
Published: (2026)
by: Gupta, Neelesh, et al.
Published: (2026)
Accelerating Recommender Model ETL with a Streaming FPGA-GPU Dataflow
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design
by: Zhang, Jiahao, et al.
Published: (2026)
by: Zhang, Jiahao, et al.
Published: (2026)
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs
by: Aggarwal, Shivam, et al.
Published: (2023)
by: Aggarwal, Shivam, et al.
Published: (2023)
NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI
by: Yang, Hanchen, et al.
Published: (2025)
by: Yang, Hanchen, et al.
Published: (2025)
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)
CODO: An Automated Compiler for Comprehensive Dataflow Optimization
by: Zhang, Weichuang, et al.
Published: (2026)
by: Zhang, Weichuang, et al.
Published: (2026)
Revet: A Language and Compiler for Dataflow Threads
by: Rucker, Alexander, et al.
Published: (2023)
by: Rucker, Alexander, et al.
Published: (2023)
Fast Cross-Operator Optimization of Attention Dataflow
by: Chang, Haodong, et al.
Published: (2026)
by: Chang, Haodong, et al.
Published: (2026)
Stream-HLS: Towards Automatic Dataflow Acceleration
by: Basalama, Suhail, et al.
Published: (2025)
by: Basalama, Suhail, et al.
Published: (2025)
Dataflow & Tiling Strategies in Edge-AI FPGA Accelerators: A Comprehensive Literature Review
by: Li, Richie
Published: (2025)
by: Li, Richie
Published: (2025)
DORA: Dataflow-Instruction Orchestration Architecture for DNN Acceleration
by: Chen, Xingzhen, et al.
Published: (2026)
by: Chen, Xingzhen, et al.
Published: (2026)
Multilayer Dataflow: Orchestrate Butterfly Sparsity to Accelerate Attention Computation
by: Wu, Haibin, et al.
Published: (2024)
by: Wu, Haibin, et al.
Published: (2024)
StreamTensor: Make Tensors Stream in Dataflow Accelerators for LLMs
by: Ye, Hanchen, et al.
Published: (2025)
by: Ye, Hanchen, et al.
Published: (2025)
Implementing and Optimizing the Scaled Dot-Product Attention on Streaming Dataflow
by: Sohn, Gina, et al.
Published: (2024)
by: Sohn, Gina, et al.
Published: (2024)
Hermes: A Unified High-Performance NTT Architecture with Hybrid Dataflow
by: Gu, Hang, et al.
Published: (2026)
by: Gu, Hang, et al.
Published: (2026)
AccelCIM: Systematic Dataflow Exploration for SRAM Compute-in-Memory Accelerator
by: Xue, Chenhao, et al.
Published: (2026)
by: Xue, Chenhao, et al.
Published: (2026)
LoopTree: Exploring the Fused-layer Dataflow Accelerator Design Space
by: Gilbert, Michael, et al.
Published: (2024)
by: Gilbert, Michael, et al.
Published: (2024)
LoopLynx: A Scalable Dataflow Architecture for Efficient LLM Inference
by: Zheng, Jianing, et al.
Published: (2025)
by: Zheng, Jianing, et al.
Published: (2025)
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics
by: Que, Zhiqiang, et al.
Published: (2022)
by: Que, Zhiqiang, et al.
Published: (2022)
Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs
by: Jeziorek, Kamil, et al.
Published: (2024)
by: Jeziorek, Kamil, et al.
Published: (2024)
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow
by: Chang, Kaiyan, et al.
Published: (2025)
by: Chang, Kaiyan, et al.
Published: (2025)
MIREDO: MIP-Driven Resource-Efficient Dataflow Optimization for Computing-in-Memory Accelerator
by: He, Xiaolin, et al.
Published: (2025)
by: He, Xiaolin, et al.
Published: (2025)
Evaluation of Posits for Spectral Analysis Using a Software-Defined Dataflow Architecture
by: Deshmukh, Sameer, et al.
Published: (2024)
by: Deshmukh, Sameer, et al.
Published: (2024)
Stream: Design Space Exploration of Layer-Fused DNNs on Heterogeneous Dataflow Accelerators
by: Symons, Arne, et al.
Published: (2022)
by: Symons, Arne, et al.
Published: (2022)
DFModel: Design Space Optimization of Large-Scale Systems Exploiting Dataflow Mappings
by: Ko, Sho, et al.
Published: (2024)
by: Ko, Sho, et al.
Published: (2024)
Similar Items
-
A2Q+: Improving Accumulator-Aware Weight Quantization
by: Colbert, Ian, et al.
Published: (2024) -
FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs
by: Khandelwal, Shashwat, et al.
Published: (2025) -
Real-Time Multi-Object Tracking using YOLOv8 and SORT on a SoC FPGA
by: Danilowicz, Michal, et al.
Published: (2025) -
DAE4HLS: Exposing Memory-Level Parallelism for High-Level Synthesis using Explicit Decoupling
by: Metz, David, et al.
Published: (2026) -
Improving Quantization with Post-Training Model Expansion
by: Franco, Giuseppe, et al.
Published: (2025)