Lit Silicon: A Case Where Thermal Imbalance Couples Concurrent Execution in Multiple GPUs
Fuente:
arXiv
Saved in:
| Main Authors: | Kurzynski, Marco, Aga, Shaizeen, Wu, Di |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Chopper: A Multi-Level GPU Characterization Tool & Derived Insights Into LLM Training Inefficiency
by: Kurzynski, Marco, et al.
Published: (2025)
by: Kurzynski, Marco, et al.
Published: (2025)
Optimizing ML Concurrent Computation and Communication with GPU DMA Engines
by: Agrawal, Anirudha, et al.
Published: (2024)
by: Agrawal, Anirudha, et al.
Published: (2024)
Balanced Data Placement for GEMV Acceleration with Processing-In-Memory
by: Ibrahim, Mohamed Assem, et al.
Published: (2024)
by: Ibrahim, Mohamed Assem, et al.
Published: (2024)
FinGraV: Methodology for Fine-Grain GPU Power Visibility and Insights
by: Singhania, Varsha, et al.
Published: (2024)
by: Singhania, Varsha, et al.
Published: (2024)
Global Optimizations & Lightweight Dynamic Logic for Concurrency
by: Pati, Suchita, et al.
Published: (2024)
by: Pati, Suchita, et al.
Published: (2024)
DMA-Latte: Expanding the Reach of DMA Offloads to Latency-bound ML Communication
by: Pati, Suchita, et al.
Published: (2025)
by: Pati, Suchita, et al.
Published: (2025)
Kitsune: Enabling Dataflow Execution on GPUs
by: Davies, Michael, et al.
Published: (2025)
by: Davies, Michael, et al.
Published: (2025)
Design Space Exploration of DMA based Finer-Grain Compute Communication Overlap
by: Pal, Shagnik, et al.
Published: (2025)
by: Pal, Shagnik, et al.
Published: (2025)
Exploration of Cryptocurrency Mining-Specific GPUs in AI Applications: A Case Study of CMP 170HX
by: Kangwei, Xing
Published: (2025)
by: Kangwei, Xing
Published: (2025)
GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions
by: Shi, Tianyao, et al.
Published: (2024)
by: Shi, Tianyao, et al.
Published: (2024)
HetGPU: The pursuit of making binary compatibility towards GPUs
by: Yang, Yiwei, et al.
Published: (2025)
by: Yang, Yiwei, et al.
Published: (2025)
Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs
by: Zhang, Qijun, et al.
Published: (2026)
by: Zhang, Qijun, et al.
Published: (2026)
Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems
by: Bai, Zhenyu, et al.
Published: (2025)
by: Bai, Zhenyu, et al.
Published: (2025)
Execution-Centric Characterization of FP8 Matrix Cores, Asynchronous Execution, and Structured Sparsity on AMD MI300A
by: Jarmusch, Aaron, et al.
Published: (2026)
by: Jarmusch, Aaron, et al.
Published: (2026)
Achieving Dependability of AI Execution with Radiation Hardened Processors
by: Taquichiri, Carlos Rafael Tordoya, et al.
Published: (2025)
by: Taquichiri, Carlos Rafael Tordoya, et al.
Published: (2025)
Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs
by: Qararyah, Fareed, et al.
Published: (2024)
by: Qararyah, Fareed, et al.
Published: (2024)
MVDRAM: Enabling GeMV Execution in Unmodified DRAM for Low-Bit LLM Acceleration
by: Kubo, Tatsuya, et al.
Published: (2025)
by: Kubo, Tatsuya, et al.
Published: (2025)
Profiling Concurrent Vision Inference Workloads on NVIDIA Jetson -- Extended
by: Chakraborty, Abhinaba, et al.
Published: (2025)
by: Chakraborty, Abhinaba, et al.
Published: (2025)
ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs
by: Yeo, Gwangoo, et al.
Published: (2026)
by: Yeo, Gwangoo, et al.
Published: (2026)
DiP: A Scalable, Energy-Efficient Systolic Array for Matrix Multiplication Acceleration
by: Abdelmaksoud, Ahmed J., et al.
Published: (2024)
by: Abdelmaksoud, Ahmed J., et al.
Published: (2024)
SpArch: Efficient Architecture for Sparse Matrix Multiplication
by: Zhang, Zhekai, et al.
Published: (2020)
by: Zhang, Zhekai, et al.
Published: (2020)
MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficient and Programmer-Transparent Multiple-Instruction Multiple-Data Processing
by: Oliveira, Geraldo F., et al.
Published: (2024)
by: Oliveira, Geraldo F., et al.
Published: (2024)
MANOJAVAM: A Scalable, Unified FPGA Accelerator for Matrix Multiplication and Singular Value Decomposition in Principal Component Analysis
by: Ramasubramanian, Srivaths, et al.
Published: (2026)
by: Ramasubramanian, Srivaths, et al.
Published: (2026)
Conduit: Programmer-Transparent Near-Data Processing Using Multiple Compute-Capable Resources in Solid State Drives
by: Nadig, Rakesh, et al.
Published: (2026)
by: Nadig, Rakesh, et al.
Published: (2026)
Compiler Support for Speculation in Decoupled Access/Execute Architectures
by: Szafarczyk, Robert, et al.
Published: (2025)
by: Szafarczyk, Robert, et al.
Published: (2025)
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach
by: Saroliya, Urvij, et al.
Published: (2024)
by: Saroliya, Urvij, et al.
Published: (2024)
EdgeReasoning: Characterizing Reasoning LLM Deployment on Edge GPUs
by: Kubwimana, Benjamin, et al.
Published: (2025)
by: Kubwimana, Benjamin, et al.
Published: (2025)
TCDM Burst Access: Breaking the Bandwidth Barrier in Shared-L1 RVV Clusters Beyond 1000 FPUs
by: Shen, Diyou, et al.
Published: (2025)
by: Shen, Diyou, et al.
Published: (2025)
Good things come in small packages: Should we build AI clusters with Lite-GPUs?
by: Canakci, Burcu, et al.
Published: (2025)
by: Canakci, Burcu, et al.
Published: (2025)
MemPool Flavors: Between Versatility and Specialization in a RISC-V Manycore Cluster
by: Mazzola, Sergio, et al.
Published: (2025)
by: Mazzola, Sergio, et al.
Published: (2025)
TeraPool: A Physical Design Aware, 1024 RISC-V Cores Shared-L1-Memory Scaled-up Cluster Design with High Bandwidth Main Memory Link
by: Zhang, Yichao, et al.
Published: (2026)
by: Zhang, Yichao, et al.
Published: (2026)
TeraPool-SDR: An 1.89TOPS 1024 RV-Cores 4MiB Shared-L1 Cluster for Next-Generation Open-Source Software-Defined Radios
by: Zhang, Yichao, et al.
Published: (2024)
by: Zhang, Yichao, et al.
Published: (2024)
A Lightweight High-Throughput Collective-Capable NoC for Large-Scale ML Accelerators
by: Colagrande, Luca, et al.
Published: (2026)
by: Colagrande, Luca, et al.
Published: (2026)
UniFormer: Unified and Efficient Transformer for Reasoning Across General and Custom Computing
by: Ran, Zhuoheng, et al.
Published: (2025)
by: Ran, Zhuoheng, et al.
Published: (2025)
Efficient Architecture for RISC-V Vector Memory Access
by: Guan, Hongyi, et al.
Published: (2025)
by: Guan, Hongyi, et al.
Published: (2025)
Adaptive KV Cache Reuse for Fast Long-Context LLM Serving
by: li, Fei, et al.
Published: (2026)
by: li, Fei, et al.
Published: (2026)
Optimizing Attention on GPUs by Exploiting GPU Architectural NUMA Effects
by: Choudhary, Mansi, et al.
Published: (2025)
by: Choudhary, Mansi, et al.
Published: (2025)
Exploring and Evaluating Real-world CXL: Use Cases and System Adoption
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
WWW: What, When, Where to Compute-in-Memory
by: Sharma, Tanvi, et al.
Published: (2023)
by: Sharma, Tanvi, et al.
Published: (2023)
SpeedMalloc: Improving Multi-threaded Applications via a Lightweight Core for Memory Allocation
by: Li, Ruihao, et al.
Published: (2025)
by: Li, Ruihao, et al.
Published: (2025)
Similar Items
-
Chopper: A Multi-Level GPU Characterization Tool & Derived Insights Into LLM Training Inefficiency
by: Kurzynski, Marco, et al.
Published: (2025) -
Optimizing ML Concurrent Computation and Communication with GPU DMA Engines
by: Agrawal, Anirudha, et al.
Published: (2024) -
Balanced Data Placement for GEMV Acceleration with Processing-In-Memory
by: Ibrahim, Mohamed Assem, et al.
Published: (2024) -
FinGraV: Methodology for Fine-Grain GPU Power Visibility and Insights
by: Singhania, Varsha, et al.
Published: (2024) -
Global Optimizations & Lightweight Dynamic Logic for Concurrency
by: Pati, Suchita, et al.
Published: (2024)