Topic Brief: Keren Zhou, Jonathon Anderson, Xiaozhu Meng, John Mellor-Crummey, Jonathon Anderson

Asplos 22 Session 2a Valueexpert Exploring Value Patterns In Gpu Accelerated Applications -

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  • Keren Zhou, Jonathon Anderson, Xiaozhu Meng, John Mellor-Crummey, Jonathon Anderson

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ASPLOS'22 - Session 2A - ValueExpert: Exploring Value Patterns in GPU-accelerated Applications
ASPLOS'22 - Session 2A - GPUReplay: A 50-KB GPU Stack for Client ML
ASPLOS'23 - Session 5A - DrGPUM: Guiding Memory Optimization for GPU-accelerated Applications
ASPLOS'22 - Session 8A - PLD: Fast FPGA Compilation to Make Reconfigurable Acceleration Compatible
Low Overhead and Context Sensitive Profiling of GPU-accelerated Applications
ASPLOS'22 - Session 4A - RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale
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ASPLOS'22 - Session 3B - CRISP: Critical Slice Prefetching
[ASPLOS 2022] GPM: Leveraging Persistent Memory from a GPU
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ASPLOS'22 - Session 2A - ValueExpert: Exploring Value Patterns in GPU-accelerated Applications

ASPLOS'22 - Session 2A - ValueExpert: Exploring Value Patterns in GPU-accelerated Applications

Read more details and related context about ASPLOS'22 - Session 2A - ValueExpert: Exploring Value Patterns in GPU-accelerated Applications.

ASPLOS'22 - Session 2A - GPUReplay: A 50-KB GPU Stack for Client ML

ASPLOS'22 - Session 2A - GPUReplay: A 50-KB GPU Stack for Client ML

Read more details and related context about ASPLOS'22 - Session 2A - GPUReplay: A 50-KB GPU Stack for Client ML.

ASPLOS'23 - Session 5A - DrGPUM: Guiding Memory Optimization for GPU-accelerated Applications

ASPLOS'23 - Session 5A - DrGPUM: Guiding Memory Optimization for GPU-accelerated Applications

Read more details and related context about ASPLOS'23 - Session 5A - DrGPUM: Guiding Memory Optimization for GPU-accelerated Applications.

ASPLOS'22 - Session 8A - PLD: Fast FPGA Compilation to Make Reconfigurable Acceleration Compatible

ASPLOS'22 - Session 8A - PLD: Fast FPGA Compilation to Make Reconfigurable Acceleration Compatible

Read more details and related context about ASPLOS'22 - Session 8A - PLD: Fast FPGA Compilation to Make Reconfigurable Acceleration Compatible.

Low Overhead and Context Sensitive Profiling of GPU-accelerated Applications

Low Overhead and Context Sensitive Profiling of GPU-accelerated Applications

Keren Zhou, Jonathon Anderson, Xiaozhu Meng, John Mellor-Crummey, Jonathon Anderson

ASPLOS'22 - Session 4A - RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale

ASPLOS'22 - Session 4A - RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale

Read more details and related context about ASPLOS'22 - Session 4A - RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale.

ASPLOS'22 - Session 1A - DOTA: Detect and Omit Weak Attentions for Scalable Transformer Acceleration

ASPLOS'22 - Session 1A - DOTA: Detect and Omit Weak Attentions for Scalable Transformer Acceleration

Read more details and related context about ASPLOS'22 - Session 1A - DOTA: Detect and Omit Weak Attentions for Scalable Transformer Acceleration.

ASPLOS'22- Session 6B- RSSD: Defend Against Ransomware with Hardware-Isolated Network-Storage Codesi

ASPLOS'22- Session 6B- RSSD: Defend Against Ransomware with Hardware-Isolated Network-Storage Codesi

Read more details and related context about ASPLOS'22- Session 6B- RSSD: Defend Against Ransomware with Hardware-Isolated Network-Storage Codesi.

ASPLOS'22 - Session 3B - CRISP: Critical Slice Prefetching

ASPLOS'22 - Session 3B - CRISP: Critical Slice Prefetching

Read more details and related context about ASPLOS'22 - Session 3B - CRISP: Critical Slice Prefetching.

[ASPLOS 2022] GPM: Leveraging Persistent Memory from a GPU

[ASPLOS 2022] GPM: Leveraging Persistent Memory from a GPU

Read more details and related context about [ASPLOS 2022] GPM: Leveraging Persistent Memory from a GPU.