HKUST Computer Architecture Group
HKUST Computer Architecture Group
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A Full-Stack Performance Evaluation Infrastructure for 3D-DRAM-based LLM Accelerators
ALOHA: Accelerating Leveled Fully Homomorphic Encryption with Cryptography-Specific Architectures
Hardware-Software Co-design for 3D-DRAM-based LLM Serving Accelerator
Reconfigurable Quantum Instruction Set Computers for High Performance Attainable on Hardware
VersaQ-3D: A Reconfigurable Accelerator Enabling Feed-Forward and Generalizable 3D Reconstruction via Versatile Quantization
AccelStack: A Cost-Driven Analysis of 3D-Stacked LLM Accelerators
Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization
H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference
Matrix: Multi-Cipher Structures Dataflow for Parallel and Pipelined TFHE Accelerator
Memtunnel: A CXL-based Rack-Scale Host Memory Pooling Architecture for Cloud Service
NVMePass: A Lightweight, High-performance and Scalable NVMe Virtualization Architecture with I/O Queues Passthrough
Phoenix: Pauli-based High-level Optimization Engine for Instruction Execution on NISQ devices
Push Multicast: A Speculative and Coherent Interconnect for Mitigating Manycore CPU Communication Bottleneck
Qubit Mapping and Routing tailored to Advanced Quantum ISAs: Not as Costly as You Think
REACT3D: Real-time Edge Accelerator for Incremental Training in 3D Gaussian Splatting based SLAM Systems
ReQISC: A Reconfigurable Quantum Computer Microarchitecture and Compiler Co-Design
STEED: Space and Time-efficient Encrypted Database Using FHE
Survey on Characterizing and Understanding GNNs from a Computer Architecture Perspective
TRACI: Network Acceleration of Input-Dynamic Communication for Large-Scale Deep Learning Recommendation Model
UniNDP: A Unified Compilation and Simulation Tool for Near DRAM Processing Architectures
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