Cover Image

Exploration of Cryptocurrency Mining-Specific GPUs in AI Applications: A Case Study of CMP 170HX

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Kangwei, Xing
Format:	Preprint
Published:	2025
Subjects:	Hardware Architecture Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lit Silicon: A Case Where Thermal Imbalance Couples Concurrent Execution in Multiple GPUs
by: Kurzynski, Marco, et al.
Published: (2025)

Kitsune: Enabling Dataflow Execution on GPUs
by: Davies, Michael, et al.
Published: (2025)

HetGPU: The pursuit of making binary compatibility towards GPUs
by: Yang, Yiwei, et al.
Published: (2025)

Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs
by: Zhang, Qijun, et al.
Published: (2026)

GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions
by: Shi, Tianyao, et al.
Published: (2024)

DeepStack: Scalable and Accurate Design Space Exploration for Distributed 3D-Stacked AI Accelerators
by: Mo, Zhiwen, et al.
Published: (2026)

Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs
by: Qararyah, Fareed, et al.
Published: (2024)

Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training
by: Adnan, Muhammad, et al.
Published: (2024)

A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications
by: Garofalo, Angelo, et al.
Published: (2025)

Muchisim: A Simulation Framework for Design Exploration of Multi-Chip Manycore Systems
by: Orenes-Vera, Marcelo, et al.
Published: (2023)

MLDSE: Scaling Design Space Exploration Infrastructure for Multi-Level Hardware
by: Qu, Huanyu, et al.
Published: (2025)

DUET: Disaggregated Hybrid Mamba-Transformer LLMs with Prefill and Decode-Specific Packages
by: Kanani, Alish, et al.
Published: (2026)

ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs
by: Yeo, Gwangoo, et al.
Published: (2026)

Good things come in small packages: Should we build AI clusters with Lite-GPUs?
by: Canakci, Burcu, et al.
Published: (2025)

DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling
by: Mei, Linyan, et al.
Published: (2022)

DCRA: A Distributed Chiplet-based Reconfigurable Architecture for Irregular Applications
by: Orenes-Vera, Marcelo, et al.
Published: (2023)

Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review
by: Majeed, Ashiyana Abdul, 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)

Achieving Dependability of AI Execution with Radiation Hardened Processors
by: Taquichiri, Carlos Rafael Tordoya, et al.
Published: (2025)

Enabling Mixed criticality applications for the Versal AI-Engines
by: Sprave, Vincent, et al.
Published: (2026)

Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach
by: Saroliya, Urvij, et al.
Published: (2024)

FengHuang: Next-Generation Memory Orchestration for AI Inferencing
by: Li, Jiamin, et al.
Published: (2025)

TT-Edge: A Hardware-Software Co-Design for Energy-Efficient Tensor-Train Decomposition on Edge AI
by: Kwak, Hyunseok, et al.
Published: (2025)

Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
by: Elwasif, Wael, et al.
Published: (2022)

Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL
by: Meyer, Marius, et al.
Published: (2024)

EdgeReasoning: Characterizing Reasoning LLM Deployment on Edge GPUs
by: Kubwimana, Benjamin, et al.
Published: (2025)

SpeedMalloc: Improving Multi-threaded Applications via a Lightweight Core for Memory Allocation
by: Li, Ruihao, et al.
Published: (2025)

Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel
by: Liu, Yiqi, et al.
Published: (2026)

ALPHA-PIM: Analysis of Linear Algebraic Processing for High-Performance Graph Applications on a Real Processing-In-Memory System
by: Barkhordar, Marzieh, et al.
Published: (2026)

A Modern Primer on Processing in Memory
by: Mutlu, Onur, et al.
Published: (2020)

The Dawn of Disaggregation and the Coherence Conundrum: A Call for Federated Coherence
by: Hong, Jaewan, et al.
Published: (2025)

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives
by: Negi, Shubham, et al.
Published: (2025)

HARP: A Taxonomy for Heterogeneous and Hierarchical Processors for Mixed-reuse Workloads
by: Garg, Raveesh, et al.
Published: (2025)

iHAC: A Hybrid Cluster Architecture for Enhanced Performance and Resilience
by: Muntaka, Siddique Abubakr, et al.
Published: (2026)

A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models
by: Sharma, Harsh, et al.
Published: (2023)

A New Family of Thread to Core Allocation Policies for an SMT ARM Processor
by: Navarro, Marta, et al.
Published: (2025)

Torrent: A Distributed DMA for Efficient and Flexible Point-to-Multipoint Data Movement
by: Deng, Yunhao, et al.
Published: (2025)

LFOC: A Lightweight Fairness-Oriented Cache Clustering Policy for Commodity Multicores
by: García-García, Adrián, et al.
Published: (2024)

DiP: A Scalable, Energy-Efficient Systolic Array for Matrix Multiplication Acceleration
by: Abdelmaksoud, Ahmed J., et al.
Published: (2024)

Chopper: A Multi-Level GPU Characterization Tool & Derived Insights Into LLM Training Inefficiency
by: Kurzynski, Marco, et al.
Published: (2025)