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- * [3] SNE: an Energy-Proportional Digital Accelerator for Sparse Event-Based Convolutions. https://arxiv.org/abs/2204.106874 KB (505 words) - 18:25, 26 July 2022
- ...that transposes matrices while they are copied throughout the system. The accelerator should work of full-precision integer and floating point formats for genera2 KB (214 words) - 09:39, 23 August 2023
- * XNOR Neural Engine: A Hardware Accelerator IP for 21.6-fJ/op Binary Neural Network Inference https://ieeexplore.ieee.o4 KB (585 words) - 14:05, 15 February 2024
- Study novel accelerator design for transformers. System and method for an optimized Winograd convolution accelerator4 KB (549 words) - 11:35, 3 November 2023
- <!-- Approximate Matrix Multiplication based Hardware Accelerator to achieve the next 10x in Energy Efficiency: Full System Integration (2S,1 [[File:maddness_floorplan.png|thumb|350px|Floorplan or the Maddness Accelerator.]]6 KB (846 words) - 16:50, 3 November 2022
- <!-- Approximate Matrix Multiplication based Hardware Accelerator to achieve the next 10x in Energy Efficiency: Full System Integration (2S,1 ...:maddness_floorplan.png|thumb|350px|Figure 1: Clock layout of the MADDness accelerator using ASAP7 technology]]6 KB (823 words) - 16:32, 3 November 2022
- ...om an update to the last specifications RVV 1.0. Ara behaves like a vector accelerator coupled with CVA6, one of the most mature open-source RV64GC cores and now5 KB (769 words) - 11:38, 3 November 2023
- ...ator comprising 216 energy-efficient 32-bit RISC-V Snitch cores [4,5]. The accelerator cores are tightly coupled to a set of software-managed L1 scratch-pad memor ...the host (CVA6 core), while parallel code regions can be offloaded to the accelerator to take advantage of its higher energy efficiency and peak performance.7 KB (944 words) - 10:47, 25 January 2024
- ...eless communications. Another option is also the integration of a PULP FFT accelerator [[#ref-Bertaccini|[3]]] in the MemPool Tile.3 KB (460 words) - 18:54, 9 November 2022
- ...and performance improvement. Spatz lean Processing Element (PE) acts as an accelerator to a scalar core, which is a good candidate for achieving ideal hardware ut6 KB (775 words) - 11:57, 31 October 2023
- ...ire: A Lightweight, Linux-Capable RISC-V Host Platform for Domain-Specific Accelerator Plug-In” https://ieeexplore.ieee.org/abstract/document/10163410 </div>3 KB (484 words) - 20:29, 21 February 2024
- ...ded instruction can execute as soon as all operands are available, and the accelerator interface can accept a new offloading request. ...pically used together with an FPU, whose instructions are implemented as ''accelerator instructions''. The FPU typically features SIMD, Minifloat (8-bit, 16-bit),14 KB (2,018 words) - 22:54, 23 November 2023
- ...(VMMs), and digital tiles to handle intermediate digital operations. This accelerator is capable of performing inference at significantly lower latencies and wit3 KB (356 words) - 14:53, 11 October 2023
- ...computations [1, 2]. Snitch features an integer core and a floating-point accelerator, which can operate in parallel to some extent. It implements two custom ISA7 KB (960 words) - 14:25, 2 May 2024
- ...d operational scheme. For this reason, we developed an Integer Transformer Accelerator (ITA) that can efficiently perform self-attention and integrated it into a ...tudent will then extend the deployment pipeline made in T1 to generate the accelerator code to control ITA. Additionally, he/she will have to parallelize and tile6 KB (858 words) - 14:52, 23 October 2023
- ...k due to the softmax function. Addressing this limitation, our transformer accelerator ITA [2] introduces ITAmax, a hardware-friendly softmax implementation. ITAm ...://arxiv.org/abs/2307.03493 ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers]4 KB (573 words) - 14:46, 23 October 2023
- #REDIRECT [[Optimal routing for 2D Mesh-based Analog Compute-In-Memory Accelerator Architecture (IBM-Zurich)]]110 bytes (11 words) - 10:31, 28 August 2023
- * 40% Implementing Snitch-based in-network accelerator, creating SsPIN ...er Timo, Beranek Jakub, Benini Luca, Hoefler Torsten. "A RISC-V in-network accelerator for flexible high-performance low-power packet processing." 2021 ACM/IEEE 43 KB (374 words) - 10:24, 3 November 2023
- ...lgorithms will be tested on an existing FZ3 Card, a powerful deep-learning accelerator card based on Xilinx Zynq UltraScale+ ZU3EG MPSoC. The overall goal will be * Devise a parallel HW accelerator for OA image reconstruction.3 KB (410 words) - 15:27, 23 October 2023
- ...ow dependencies. To solve this issue, we designed ITA, Integer Transformer Accelerator [2], that targets efficient transformer inference on embedded systems by ex ...ution cycle of the attention mechanism. In contrast to throughput-oriented accelerator designs, which typically employ systolic arrays, ITA implements its process4 KB (577 words) - 10:52, 12 December 2023
- ...ow dependencies. To solve this issue, we designed ITA, Integer Transformer Accelerator [2], that targets efficient transformer inference on embedded systems by ex ...ution cycle of the attention mechanism. In contrast to throughput-oriented accelerator designs, which typically employ systolic arrays, ITA implements its process3 KB (485 words) - 10:52, 12 December 2023
- ...ow dependencies. To solve this issue, we designed ITA, Integer Transformer Accelerator [2], that targets efficient transformer inference on embedded systems by ex ...ution cycle of the attention mechanism. In contrast to throughput-oriented accelerator designs, which typically employ systolic arrays, ITA implements its process4 KB (511 words) - 12:38, 21 December 2023
- ...and performance improvement. Spatz lean Processing Element (PE) acts as an accelerator to a scalar core, which is a good candidate for achieving ideal hardware ut - Aligning the accelerator interface between the latest 64-bit Spatz Cluster, MemPool, and TeraPool-ba6 KB (844 words) - 11:41, 31 October 2023
- <!-- A RISC-V fault-tolerant many-core accelerator for 5G Non-Terrestrial Networks (1-2S/B) -->3 KB (342 words) - 13:02, 12 February 2024
- #REDIRECT [[A RISC-V fault-tolerant many-core accelerator for 5G Non-Terrestrial Networks (1-2S/B)]]100 bytes (13 words) - 11:05, 2 November 2023
- ...reating Creating an At-memory Low-overhead Bufferless Matrix Transposition Accelerator (1-3S/B) --> ...dedicated special-purpose buffer. Our idea is to create such a reshuffling accelerator (inside of iDMA) using the already present cluster TCDM as its buffer.2 KB (314 words) - 10:27, 3 November 2023
- ...ently started testing Occamy, our massive 434-core general-purpose compute accelerator based on the Snitch architecture. We can successfully run code on the two L2 KB (314 words) - 18:47, 24 November 2023
- <!-- Implementation of an Accelerator for Retentive Networks (M/1-2S) --> In this project, we aim to lay the foundation for a retention accelerator that is able to execute the main layers in Retentive Networks with little t5 KB (735 words) - 14:31, 18 February 2024
- ...ent data movement, we developed a performant, reconfigurable data movement accelerator (iDMA) for embedded edge computing systems. ...and-true PULPissimo SoC architecture by integrating the iDMA data movement accelerator. To validate correct integration and as a concrete large-scale use case, no3 KB (418 words) - 16:18, 23 November 2023
- ...heterogeneous chip contains four RISC-V Avispado cores along with two STX accelerator tiles and one Variable floating point precision core. ''Source: [https://www.european-processor-initiative.eu/accelerator/]''4 KB (501 words) - 15:27, 15 February 2024
- ...ators by explicitly specifying the code regions amenable to execute on the accelerator.3 KB (461 words) - 12:19, 12 February 2024
- ...level for a future SoC gathering a Cheshire host subsystem with a Mempool accelerator subsystem. ...SoC using System Verilog and verify the communication between the Host and Accelerator subsystems.3 KB (482 words) - 15:57, 13 February 2024
- <!-- Benchmarking RISC-V-based Accelerator Cards for Inference (multiple SA) --> ...ce with its 96 Tensix cores (each containing 5 RISC-V processors, a tensor accelerator, a vector co-processor and up to 1.5MB of SRAM). The Grayskull card comes w3 KB (459 words) - 13:24, 12 April 2024