Skip to content

Procyon: Promoting Fine-Grain Multi-Tenancy to Optimize Sparse Streaming Accelerators

· 0 citations · 32 references

TL;DR

Procyon, a fine-grain multi-tenancy framework that fuses the PE instruction streams of multiple workloads into a unified execution schedule, substantially reduces PE underutilization that results in 3 × speedup over state-of-the-art sparse streaming accelerators, and reaches a peak throughput of 61 .

View source

Similar papers

Open access Aug 2026

SAI: Virtualizing Shared Memory of GPU for AI workload acceleration

This work proposes SAI, a mechanism that virtualizes shared memory into the L2 cache to improve GPU performance for AI applications and introduces an L2 cache management strategy that integrates associativity-based virtual page allocation and a replacement information table, reducing page-swapping overhead while preser...

Hanqing Li, Tie-Jun Li, Sheng Ma et al. · 0 citations
Open access Aug 2026

Autotuned Distribution of Multi-DNN Workloads on Multi-Accelerator SoCs

This work proposes a method to distribute the execution of individual layers across accelerators, and demonstrates how to implement such a baseline system using a SoC generator framework, performs an ablation study prototyping different versions on an FPGA, and identifies gaps and limitations by executing a multi-DNN a...

Federico Nicolás Peccia, Avik Bhatnagar, Oliver Bringmann · 0 citations

Systematic Design Methodologies for Multi-Engine Deep Learning Accelerators

This thesis presents design methodologies that increase the extent to which key design choices are based on exploration and quantitative evaluation of design alternatives, and identifies architectures that consistently outperform the state-of-the-art, achieving considerable improvements in latency, throughput, energy,...

Fareed Mohammad Qararyah · 0 citations

On the co-design of runtimes, systems and programming interfaces for HPC

(English) High-performance computing (HPC) platforms are evolving towards increasingly complex architectures: many-core CPUs with multi-level NUMA hierarchies, heterogeneity with multiple classes of accelerators and higher-capacity interconnects. The increasing complexity and variety of resources in these machines make...

David Álvarez Robert · 0 citations
Preprint Aug 2026

On Design Principles for Efficient Heterogeneous DRAM-PIM-GPU Systems

Three fundamental design principles are revealed that provide design-space guidance for architects designing the next generation of memory-accelerated LLM systems.

Corey Lammie, Hadjer Benmeziane, W. Simon et al. · 0 citations
Preprint Aug 2026

A Thread-Register Decoupled GPU Execution Model for Efficient Tensor Computation

This work proposes FIBER, a new architecture that extends the GPU SIMT (single instruction, multiple thread) model, and extends the ISA, microarchitecture, and compiler to realize shared-register addressing, conflict-free operand delivery, and fiber-based program mapping.

Zihan Liu, Jingwen Leng, Yangjie Zhou et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.