Asad Ul Haq

According to our database, Asad Ul Haq authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

TRACE: Unlocking Effective CXL Bandwidth via Lossless Compression and Precision Scaling.

Rui Xie, Asad Ul Haq, Yunhua Fang, Linsen Ma, Zirak Burzin Engineer, Liu Liu, Tong Zhang

IEEE Trans. Computers, April, 2026

2025

Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference.

Rui Xie, Yunhua Fang, Asad Ul Haq, Linsen Ma, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang

CoRR, December, 2025

Amplifying Effective CXL Memory Bandwidth for LLM Inference via Transparent Near-Data Processing.

Rui Xie, Asad Ul Haq, Linsen Ma, Yunhua Fang, Zirak Burzin Engineer, Liu Liu, Tong Zhang

CoRR, September, 2025

Reimagining Memory Access for LLM Inference: Compression-Aware Memory Controller Design.

Rui Xie, Asad Ul Haq, Linsen Ma, Yunhua Fang, Zirak Burzin Engineer, Liu Liu, Tong Zhang

CoRR, March, 2025

Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure.

Rui Xie, Asad Ul Haq, Yunhua Fang, Linsen Ma, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang

IEEE Comput. Archit. Lett., 2025

Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System.

Yunhua Fang, Rui Xie, Asad Ul Haq, Linsen Ma, Kaoutar El Maghraoui, Naigang Wang, Meng Wang, Liu Liu, Tong Zhang

IEEE Comput. Archit. Lett., 2025

ZipCXL: CXL-based Main Memory Compression at Low Performance Penalty.

Asad Ul Haq, Rui Xie, Linsen Ma, Yunhua Fang, Liu Liu, Tong Zhang

Proceedings of the International Symposium on Memory Systems, 2025

2024

SmartQuant: CXL-Based AI Model Store in Support of Runtime Configurable Weight Quantization.

Rui Xie, Asad Ul Haq, Linsen Ma, Krystal Sun, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang

IEEE Comput. Archit. Lett., 2024