· ai
[Paper] GraphBench: Next-generation graph learning benchmarking
Machine learning on graphs has recently achieved impressive progress in various domains, including molecular property prediction and chip design. However, bench...
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- · software
[Paper] LLM-SrcLog: Towards Proactive and Unified Log Template Extraction via Large Language Models
Log parsing transforms raw logs into structured templates containing constants and variables. It underpins anomaly detection, failure diagnosis, and other AIOps...
- · devops
[Paper] Offloading to CXL-based Computational Memory
CXL-based Computational Memory (CCM) enables near-memory processing within expanded remote memory, presenting opportunities to address data movement costs assoc...
- · ai
[Paper] Automating Complex Document Workflows via Stepwise and Rollback-Enabled Operation Orchestration
Workflow automation promises substantial productivity gains in everyday document-related tasks. While prior agentic systems can execute isolated instructions, t...
- · ai
[Paper] MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network
Spiking Neural Networks (SNNs) offer a promising and energy-efficient alternative to conventional neural networks, thanks to their sparse binary activation. How...
- · ai
[Paper] TaskEval: Synthesised Evaluation for Foundation-Model Tasks
Hallucinations are a key concern when creating applications that rely on Foundation models (FMs). Understanding where and how these subtle failures occur in an ...
- · devops
[Paper] A Structure-Aware Irregular Blocking Method for Sparse LU Factorization
In sparse LU factorization, nonzero elements after symbolic factorization tend to distribute in diagonal and right-bottom region of sparse matrices. However, re...
- · ai
[Paper] Counting Without Running: Evaluating LLMs' Reasoning About Code Complexity
Modern GPU software stacks demand developers who can anticipate performance bottlenecks before ever launching a kernel; misjudging floating-point workloads upst...
- · devops
[Paper] VLCs: Managing Parallelism with Virtualized Libraries
As the complexity and scale of modern parallel machines continue to grow, programmers increasingly rely on composition of software libraries to encapsulate and ...
- · ai
[Paper] GRASP: GRouped Activation Shared Parameterization for Parameter-Efficient Fine-Tuning and Robust Inference of Transformers
Parameter-efficient fine-tuning (PEFT) provides a scalable alternative to full-model adaptation by updating only a small subset of parameters in large pre-train...
- · devops
[Paper] Scaling MPI Applications on Aurora
The Aurora supercomputer, which was deployed at Argonne National Laboratory in 2024, is currently one of three Exascale machines in the world on the Top500 list...
- · devops
[Paper] tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection
We present tritonBLAS, a fast and deterministic analytical model that uses architectural parameters like the cache hierarchy, and relative code and data placeme...