activity
20232026
most citedITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers

24 citations · 72 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.AR2024

ControlPULPlet: A Flexible Real-time Multi-core RISC-V Controller for 2.5D Systems-in-package

Alessandro Ottaviano, Robert Balas, Tim Fischer +3

The growing complexity of real-time control algorithms with increasing performance demands, along with the shift to 2.5D technology, drive the need for scalable controllers to mana…

cs.AR2024★ 16 cited

FlooNoC: A 645 Gbps/link 0.15 pJ/B/hop Open-Source NoC with Wide Physical Links and End-to-End AXI4 Parallel Multi-Stream Support

Tim Fischer, Michael Rogenmoser, Thomas Benz +2

The new generation of domain-specific AI accelerators is characterized by rapidly increasing demands for bulk data transfers, as opposed to small, latency-critical cache line trans…

cs.AR2024

Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83% FPU Utilization Dual-Chiplet, Dual-HBM2E RISC-V-based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET

Gianna Paulin, Paul Scheffler, Thomas Benz +11

We present Occamy, a 432-core RISC-V dual-chiplet 2.5D system for efficient sparse linear algebra and stencil computations on FP64 and narrow (32-, 16-, 8-bit) SIMD FP data. Occamy…

cs.DC2024

Optimizing Foundation Model Inference on a Many-tiny-core Open-source RISC-V Platform

Viviane Potocnik, Luca Colagrande, Tim Fischer +4

Transformer-based foundation models have become crucial for various domains, most notably natural language processing (NLP) or computer vision (CV). These models are predominantly…