HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing (FPGA'19 Best Paper)
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Updated
Apr 20, 2024 - Python
HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing (FPGA'19 Best Paper)
[TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
dMazeRunner: Dataflow acceleration optimization infrastructure for coarse-grained programmable accelerators
A curated collection of awesome demos, tools, projects, and resources built by and for the Tenstorrent ecosystem.
A template-based, layer-oriented High Level Synthesis Tool for AI algorithms
A modular, automatable, tunable mapper for accelerator programming
Reusable platform blueprints and accelerator patterns from TCS Labs
[TCAD'23] TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference
Deterministic, evidence-gated routing for startup funding, accelerators, cloud credits, investment, incentives, and strategic BD.
Axion-Like Particles: Simulated Spectra from Fixed Target, Reactor, and Solar Fluxes
Clean-room Mojo kernels as drop-in accelerators for popular Python/TS libraries — measured 70x-8,700x with bit-exact parity and pure-language fallbacks. bm25, Fuse.js fuzzy search, cclib electron-density grids. Siblings: thyn-ai/algenta-sdk, thyn-ai/algenta-integrations.
Generative AI Accelerators
Simulation and optimization workflows for DAMSA dark-sector searches, with focus on background characterization and detector geometry studies.
Signal processing techniques to find accelerator's tune and test how this tune changes due to some parameters. FFT and NAFF algorithms were used.
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