Cover Image

Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nikolić, Miloš, Sanchez, Enrique Torres, Wang, Jiahui, Zadeh, Ali Hadi, Mahmoud, Mostafa, Abdelhadi, Ameer, Ibrahim, Kareem, Moshovos, Andreas
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Hardware Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products
by: Hashem, Maeesha Binte, et al.
Published: (2024)

A Hybrid Residue Floating Numerical Architecture with Formal Error Bounds for High Throughput FPGA Computation
by: Darvishi, Mostafa
Published: (2026)

A Stochastic Rounding-Enabled Low-Precision Floating-Point MAC for DNN Training
by: Ali, Sami Ben, et al.
Published: (2024)

Fast Generation of Custom Floating-Point Spatial Filters on FPGAs
by: Campos, Nelson, et al.
Published: (2024)

Online Alignment and Addition in Multi-Term Floating-Point Adders
by: Alexandridis, Kosmas, et al.
Published: (2024)

Floating Point HUB Adder for RISC-V Sargantana Processor
by: Bandera, Gerardo, et al.
Published: (2024)

A Hybrid-Domain Floating-Point Compute-in-Memory Architecture for Efficient Acceleration of High-Precision Deep Neural Networks
by: Yi, Zhiqiang, et al.
Published: (2025)

Floating-Point Multiply-Add with Approximate Normalization for Low-Cost Matrix Engines
by: Alexandridis, Kosmas, et al.
Published: (2024)

Converting Binary Floating-Point Numbers to Shortest Decimal Strings: An Experimental Review
by: Gareau, Jaël Champagne, et al.
Published: (2026)

MixFP4: Enhancing NVFP4 with Adaptive FP4/INT4 Block Representations
by: Zou, Jiaxiang, et al.
Published: (2026)

Scaling Laws for Floating Point Quantization Training
by: Sun, Xingwu, et al.
Published: (2025)

LLM-FP4: 4-Bit Floating-Point Quantized Transformers
by: Liu, Shih-yang, et al.
Published: (2023)

TMA-Adaptive FP8 Grouped GEMM: Eliminating Padding Requirements in Low-Precision Training and Inference on Hopper
by: Su, Zhongling, et al.
Published: (2025)

BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models
by: Han, Xiaomeng, et al.
Published: (2025)

H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention
by: Alexandridis, Kosmas, et al.
Published: (2025)

MXFormer: A Microscaling Floating-Point Charge-Trap Transistor Compute-in-Memory Transformer Accelerator
by: Karfakis, George, et al.
Published: (2026)

E2AFS: Energy-Efficient Approximate Floating Point Square Rooter for Error Tolerant Computing
by: Goyal, Prateek, et al.
Published: (2026)

MXDOTP: A RISC-V ISA Extension for Enabling Microscaling (MX) Floating-Point Dot Products
by: İslamoğlu, Gamze, et al.
Published: (2025)

Dual-Issue Execution of Mixed Integer and Floating-Point Workloads on Energy-Efficient In-Order RISC-V Cores
by: Colagrande, Luca, et al.
Published: (2025)

From Quarter to All: Accelerating Speculative LLM Decoding via Floating-Point Exponent Remapping and Parameter Sharing
by: Zhao, Yushu, et al.
Published: (2025)

Exploring and Exploiting Runtime Reconfigurable Floating Point Precision in Scientific Computing: a Case Study for Solving PDEs
by: Hao, Cong "Callie"
Published: (2024)

The AetherFloat Family: Block-Scale-Free Quad-Radix Floating-Point Architectures for AI Accelerators
by: Morisaki, Keita
Published: (2026)

Faster Inference of LLMs using FP8 on the Intel Gaudi
by: Lee, Joonhyung, et al.
Published: (2025)

SafeCiM: Investigating Resilience of Hybrid Floating-Point Compute-in-Memory Deep Learning Accelerators
by: Bhattacharya, Swastik, et al.
Published: (2025)

TransDot: An Area-efficient Reconfigurable Floating-Point Unit for Trans-Precision Dot-Product Accumulation for FPGA AI Engines
by: Wang, Jiayi, et al.
Published: (2026)

A Hybrid Residue Floating Numerical Architecture for High Precision Arithmetic on FPGAs
by: Darvishi, Mostafa
Published: (2025)

Inexactness and Correction of Floating-Point Reciprocal, Division and Square Root
by: Dutton, Lucas M., et al.
Published: (2024)

Hardware-Efficient CNNs: Interleaved Approximate FP32 Multipliers for Kernel Computation
by: Gowda, Bindu G, et al.
Published: (2025)

Range, Not Precision: Block-Floating-Point Half-Precision FFT and SAR Imaging on Apple Silicon
by: Bergach, Mohamed Amine
Published: (2026)

Search Your Block Floating Point Scales!
by: Gupta, Tanmaey, et al.
Published: (2026)

On Approximate 8-bit Floating-Point Operations Using Integer Operations
by: Lindberg, Theodor, et al.
Published: (2024)

Closing the Gap Between Float and Posit Hardware Efficiency
by: Jonnalagadda, Aditya Anirudh, et al.
Published: (2026)

FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables
by: Park, Gunho, et al.
Published: (2025)

MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V cores
by: Bertaccini, Luca, et al.
Published: (2022)

MGS: Markov Greedy Sums for Accurate Low-Bitwidth Floating-Point Accumulation
by: Natesh, Vikas, et al.
Published: (2025)

DGEMM without FP64 Arithmetic - Using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme
by: Mukunoki, Daichi
Published: (2025)

Formal that "Floats" High: Formal Verification of Floating Point Arithmetic
by: Mohanty, Hansa, et al.
Published: (2025)

Accelerator-assisted Floating-point ASIP for Communication and Positioning in Massive MIMO Systems
by: Attari, Mohammad, et al.
Published: (2025)

Generalized Methodology for Determining Numerical Features of Hardware Floating-Point Matrix Multipliers: Part I
by: Khattak, Faizan A, et al.
Published: (2025)

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction
by: Zhao, Liang, et al.
Published: (2026)