Search Results - Computing methodologies Computer graphics Graphics systems AND interfaces Graphics processes

StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data by Poduval, Prathyush, Zou, Zhuowen, Najafi, Hassan, Homayoun, Houman, Imani, Mohsen

“…Hyperdimensional Computing (HDC) is a neurally-inspired computation model working based on the observation that the human brain operates on high-dimensional representations of data, called hypervector…”
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MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization by Qi, Chunyu, Wang, Xuhang, Chen, Ruiyang, Yao, Yuanzheng, Jing, Naifeng, Zhang, Chen, Wang, Jun, Fu, Zhihui, Liang, Xiaoyao, Song, Zhuoran

“…Diffusion models have demonstrated superior performance in image generation tasks, thus becoming the mainstream model for generative visual tasks. Diffusion…”
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BEVSA: A Real-Time Bird's-Eye-View Semantic Segmentation Accelerator for Multi-Camera System by Lee, Sangho, Jung, Jueung, Jang, Wuyoung, Hwang, Jihyeon, Lee, Kyuho

“…A bird's-eye-view (BEV) semantic segmentation accelerator (BEVSA) is proposed for real-time 3D space perception in multi-camera system (MCS…”
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A Framework for Fine-Grained Synchronization of Dependent GPU Kernels by Jangda, Abhinav, Maleki, Saeed, Dehnavi, Maryam Mehri, Musuvathi, Madan, Saarikivi, Olli

“… These computations are commonly executed on Graphics Processing Units (GPUs), by dividing the computation into independent processing blocks, known as tiles…”
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VISTA: Optimizing GPU Scheduling through Versatile Locality-Aware Data Sharing by Falahati, Hajar, Mahani, Negin, Cristal, Adrian, Unsal, Osman

“…Graphics Processing Units (GPUs) play a pivotal role in high-performance computing by utilizing the massive parallelism of concurrent thread execution to enhance processing efficiency, known as thread-level parallelism (TLP…”
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Efficient Edge Vision Transformer Accelerator with Decoupled Chunk Attention and Hybrid Computing-In-Memory by Li, Yi, Ye, Zijian, Fu, Xiangqu, Wang, Songqi, Du, Shucheng, Lin, Ning, Shang, Dashan, Yue, Jinshan, Wang, Zhongrui, Qi, Xiaojuan, Zhang, Feng, Wang, Han

“…Vision Transformers (ViTs) are new foundation models for vision applications. Edge-deploying ViTs to realize energy-saving, low-latency, and high-performance…”
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GEM: GPU-Accelerated Emulator-Inspired RTL Simulation by Guo, Zizheng, Zhang, Yanqing, Wang, Runsheng, Lin, Yibo, Ren, Haoxing

“…) architecture, designed for efficient CUDA execution. We also design a flow that maps circuit logic to the architecture in a process analogous to the FPGA CAD flow…”
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Heterogeneous Acceleration Pipeline for Recommendation System Training by Adnan, Muhammad, Maboud, Yassaman Ebrahimzadeh, Mahajan, Divya, Nair, Prashant J.

“…Recommendation models rely on deep learning networks and large embedding tables, resulting in computationally and memory-intensive processes…”
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RADiT: Redundancy-Aware Diffusion Transformer Acceleration Leveraging Timestep Similarity by Park, Youngjun, Kim, Sangyeon, Kim, Yeonggeon, Ji, Gisan, Ryu, Sungju

“… However, a large amount of computations on the inference process and iterative sampling steps in the DiT models result in high computational costs, leading to substantial latency and energy consumption challenges…”
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Espresso: Exploiting the Sparsity Property in Event Sensors with Spatiotemporal Ordering by Li, Leshan, Li, Hongyi, Yang, Qingyuan, Ou, Mingtao, Zhao, Rong, Ji, Xinglong

“… However, it is challenging to efficiently stream process event data without demolishing its sparsity…”
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VReqST: A Requirement Specification Tool for Virtual Reality Software Products by Karre, Sai Anirudh, Halhalli, Amogha A, Reddy, Y. Raghu

“… Slight changes to the requirements can significantly impact the overall flow of the VR software development process…”
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Towards domain-specific modelling environments based on augmented reality by Brunschwig, Léa, Campos-López, Rubén, Guerra, Esther, de Lara, Juan

“…Models are pervasive in many disciplines, like software and systems engineering. Modelling by the use of domain-specific languages (DSLs…”
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SEER: A Time Prediction Model for CNNs from GPU Kernel's View by Liu, Guodong, Wang, Sa, Bao, Yungang

“… When performing optimizations, prior knowledge about execution time of each part of the network can help avoid repeatedly time-consuming testing and profiling process…”
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Late Breaking Results: Scalable GPU-Friendly Parallelization for Sweep-Based Maze Routing by Chiang, Cheng-Yu, Cai, Zong-Ying, Lan, Chao-Chi, Chen, Yan-Jen, Hsu, Yang, Chang, Yao-Wen, Chen, Hung-Ming

“… We introduce a sweep-sharing technique that allows multiple nets to be routed simultaneously within a single sweeping process, substantially reducing memory consumption and kernel launching…”
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nvshare: Practical GPU Sharing Without Memory Size Constraints by Alexopoulos, Georgios, Mitropoulos, Dimitris

“…GPUs are essential for accelerating Machine Learning (ML) work-loads. A common practice is deploying ML jobs as containers managed by an orchestrator such as…”
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Non‐linear Rough 2D Animation using Transient Embeddings by Even, Melvin, Bénard, Pierre, Barla, Pascal

“…Traditional 2D animation requires time and dedication since tens of thousands of frames need to be drawn by hand for a typical production. Many computer…”
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TiPU: A Spatial-Locality-Aware Near-Memory Tile Processing Unit for 3D Point Cloud Neural Network by Zheng, Jiapei, Jiang, Hao, Nie, Xinkai, Huang, Zhangcheng, Chen, Chixiao, Liu, Qi

“… This paper proposes TiPU, a spatial-locality-aware near-memory tile processing unit where the point clouds are partitioned into tiles to process spatial features locally…”
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StratomeX: Visual Analysis of Large-Scale Heterogeneous Genomics Data for Cancer Subtype Characterization by Lex, A., Streit, M., Schulz, H.-J., Partl, C., Schmalstieg, D., Park, P.J., Gehlenborg, N.

“… Since there are no tools supporting this process, much of this work is done using ad‐hoc scripts and static plots, which is inefficient and limits visual exploration of the data…”
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Material Surface Reproduction and Perceptual Deformation with Projection Mapping for Car Interior Design by Takezawa, Takuro, Iwai, Daisuke, Sato, Kosuke, Hara, Toshihiro, Takeda, Yusaku, Murase, Kenji

“…Car interior design, such as dashboard, broadly consists of two parts. One is shape design, where the processes of 2D drawing, 3D modeling and evaluation with full-scale mockups are iterated, which takes a massive amount of time and cost…”
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BIM-based Mixed Reality Application for Supervision of Construction by Raimbaud, Pierre, Ruding Lou, Merienne, Frederic, Danglade, Florence, Figueroa, Pablo, Tiberio Hernandez, Jose

“…Building Information Modelling (BIM) is an up-and-coming methodology and technology used in the Architecture, Engineering and Construction (AEC…”
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