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Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Sparse matrix-vector multiplication (SpMV) is a fundamental operation across diverse domains, including scientific computing, machine …
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Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Three Birds, One Stone: Fast, Accurate-aware and Cost-Efficient Accelerator for Ternary LLM
Sparse matrix-vector multiplication (SpMV) is a fundamental operation across diverse domains, including scientific computing, machine …
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Three Birds, One Stone: Fast, Accurate-aware and Cost-Efficient Accelerator for Ternary LLM
SumcheckPIM: An Efficient HBM-Based PIM Architecture for Linear Complexity Zero Knowledge Proofs
Sparse matrix-vector multiplication (SpMV) is a fundamental operation across diverse domains, including scientific computing, machine …
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SumcheckPIM: An Efficient HBM-Based PIM Architecture for Linear Complexity Zero Knowledge Proofs
FINEA: An Efficient Neural Network Accelerator Exploiting Factorized Input Features
Modern deep neural network (DNN) models increasingly adopt quantized data formats to alleviate the computational burdens of convolution …
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FINEA: An Efficient Neural Network Accelerator Exploiting Factorized Input Features
HALO: Hybrid Systolic Arrays via Logical Partitioning for Acceleration of Complex-Valued Neural Networks
Complex-Valued Neural Networks (CVNNs) are an emerging class of deep learning models that process data with both real and imaginary …
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HALO: Hybrid Systolic Arrays via Logical Partitioning for Acceleration of Complex-Valued Neural Networks
SSFFT: Energy-Efficient Selective Scaling for Fast Fourier Transform in Embedded GPUs
Fast Fourier Transform (FFT) is critical in applications such as signal processing, communications, and AI. Embedded GPUs are often …
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SSFFT: Energy-Efficient Selective Scaling for Fast Fourier Transform in Embedded GPUs
SparsePIM: An Efficient HBM-Based PIM Architecture for Sparse Matrix-Vector Multiplications
Sparse matrix-vector multiplication (SpMV) is a fundamental operation across diverse domains, including scientific computing, machine …
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SparsePIM: An Efficient HBM-Based PIM Architecture for Sparse Matrix-Vector Multiplications
Hierarchical Traversal Stack Design Using Shared Memory for GPU Ray Tracing
Ray tracing is widely used to generate photorealistic images by tracing the paths of light rays through a scene and their interactions …
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Hierarchical Traversal Stack Design Using Shared Memory for GPU Ray Tracing
HyMM: A Hybrid Sparse-Dense Matrix Multiplication Accelerator for GCNs
Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively …
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HyMM: A Hybrid Sparse-Dense Matrix Multiplication Accelerator for GCNs
Coldmap: Extending SSD Lifetime Exploiting Multi-Page Mapping Information
Solid-state drives (SSDs) include flash translation layer (FTL) functions to manage the inherent characteristics of NAND flash memory. …
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Coldmap: Extending SSD Lifetime Exploiting Multi-Page Mapping Information