11 citations · 15 across the 20 of their papers we have counts for
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The Impact Market to Save Conference Peer Review: Decoupling Dissemination and Credentialing
Karthikeyan Sankaralingam
Top-tier academic conferences are failing under the strain of two irreconcilable roles: (1) rapid dissemination of all sound research and (2) scarce credentialing for prestige and…
Regular Expression Indexing for Log Analysis. Extended Version
Ling Zhang, Shaleen Deep, Jignesh M. Patel +1
In this paper, we present the design and architecture of REI, a novel system for indexing log data for regular expression queries. Our main contribution is an -gram-based indexi…
NeuroScalar: A Deep Learning Framework for Fast, Accurate, and In-the-Wild Cycle-Level Performance Prediction
Shayne Wadle, Yanxin Zhang, Vikas Singh +1
The evaluation of new microprocessor designs is constrained by slow, cycle-accurate simulators that rely on unrepresentative benchmark traces. This paper introduces a novel deep le…
SAHM: State-Aware Heterogeneous Multicore for Single-Thread Performance
Shayne Wadle, Karthikeyan Sankaralingam
Improving single-thread performance remains a critical challenge in modern processor design, as conventional approaches such as deeper speculation, wider pipelines, and complex out…
Agora: A System for Consumption-Based GPU Pricing
Ian McDougall, Noah Scott, Joon Huh +2
We present Agora, a lightweight system designed for cloud-based GPUs which meters a three-dimensional resource vector from commodity performance counters and prices it with a funct…
Penrose: Privacy-Preserving Performance Profiling of In-The-Wild GPUs
Ian McDougall, Michael Davies, Rahul Chatterjee +2
GPUs are the dominant platform for many important applications today including deep learning, accelerated computing, and scientific simulation. However, as the complexity of both a…
Pedagogically Motivated and Composable Open-Source RISC-V Processors for Computer Science Education
Ian McDougall, Harish Batchu, Michael Davies +1
While most instruction set architectures (ISAs) are only available to use through the purchase of a restrictive commercial license, the RISC-V ISA presents a free and open-source a…
LIMINAL: Exploring The Frontiers of LLM Decode Performance
Michael Davies, Neal Crago, Karthikeyan Sankaralingam +1
The rapid advancement of Large Language Models (LLMs) necessitates a deep understanding of their fundamental performance limits. This paper investigates the limits of LLM inference…
An Evaluation of N-Gram Selection Strategies for Regular Expression Indexing in Contemporary Text Analysis Tasks. Extended Version
Ling Zhang, Shaleen Deep, Jignesh M. Patel +1
Efficient evaluation of regular expressions (regex, for short) is crucial for text analysis, and n-gram indexes are fundamental to achieving fast regex evaluation performance. Howe…
Kitsune: Enabling Dataflow Execution on GPUs
Michael Davies, Neal Crago, Karthikeyan Sankaralingam +1
State of art DL models are growing in size and complexity, with many modern models also increasing in heterogeneity of behavior. GPUs are still the dominant platform for DL applica…