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09/19/2023
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
With the fast growth of parameter size, it becomes increasingly challeng...
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09/02/2023
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model
Text-to-image generation (TTI) refers to the usage of models that could ...
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08/02/2023
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales
ChatGPT-like models have revolutionized various applications in artifici...
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07/05/2023
Chiplet Cloud: Building AI Supercomputers for Serving Large Generative Language Models
Large language models (LLMs) such as ChatGPT have demonstrated unprecede...
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04/14/2023
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs
Collaborative filtering (CF) has been proven to be one of the most effec...
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09/15/2022
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems
Sparse linear algebra kernels play a critical role in numerous applicati...
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09/13/2022
Towards Efficient Architecture and Algorithms for Sensor Fusion
The safety of an automated vehicle hinges crucially upon the accuracy of...
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11/18/2021
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
Training wide and deep neural networks (DNNs) require large amounts of s...
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10/07/2021
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving
Bayesian Neural Networks (BNNs) that possess a property of uncertainty e...
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10/07/2021
MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers
Multi-accelerator servers are increasingly being deployed in shared mult...
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09/16/2021
Dr. Top-k: Delegate-Centric Top-k on GPUs
Recent top-k computation efforts explore the possibility of revising var...
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06/22/2021
Randomness In Neural Network Training: Characterizing The Impact of Tooling
The quest for determinism in machine learning has disproportionately foc...
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06/11/2021
Toward Efficient Interactions between Python and Native Libraries
Python has become a popular programming language because of its excellen...
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02/25/2021
Q-VR: System-Level Design for Future Mobile Collaborative Virtual Reality
High Quality Mobile Virtual Reality (VR) is what the incoming graphics t...
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12/13/2020
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures
Designing efficient and scalable sparse linear algebra kernels on modern...
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11/18/2020
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression
Deep neural networks (DNNs) are becoming increasingly deeper, wider, and...
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02/09/2020
ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs
Linear algebra operations have been widely used in big data analytics an...
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01/08/2020
OO-VR: NUMA Friendly Object-Oriented VR Rendering Framework For Future NUMA-Based Multi-GPU Systems
With the strong computation capability, NUMA-based multi-GPU system is a...
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11/07/2019
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design
In recent years, the CNNs have achieved great successes in the image pro...
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03/11/2019
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect
High performance multi-GPU computing becomes an inevitable trend due to ...
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01/13/2018
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Going deeper and wider in neural architectures improves the accuracy, wh...
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05/06/2016
