#lattice

2025-05-19

Do you know some source code out there that programs a Lattice ECP5 FPGA via SSPI interface? (and not jtag nor spi flash nor parallel itf)

I am trying to implement it and so far I think I'm really close but something does not work yet... 🤔

PS: I've read countless times the sysCONFIG manual 😭

#ecp5 #lattice #fpga #opensource

Rafael Martinsrafaelmartins
2025-05-04

How and why I developed a simple Flash SPI programmer from scratch in 2025.

rafaelmartins.com/series/weeke

@olimex

2025-03-17

🫶#call4reading

✍️Localization #doesnot occur for the #Fourierwalk on the multi-dimensional #lattice #by Akihiro Narimatsu

🔗10.26421/QIC21.5-6-3 (#arXiv:2007.07398)

#Quantumwalks #Fourierwalks

2025-03-05

@amd
Have you tried #Lattice workbench? There are few recent videos on using it on YT. Your case looks exactly like what people show there and they promise huge speedup.

2025-02-25
VERO: a unisex stack-able ring and alternative engagement band by Xover0. 💧✨


#jewelry #designer #alternative #engagement #ring #anniversary #silver #lattice #fashion #style #design #geometry #slowfashion
2025-02-18

Not having #AMD #Xilinx #Vivado #Chipscope based live #hardware debug for the #picoice #Lattice #ice40 #FPGA was a little annoying

so I am hoping to revive the small pipelinec project that was sorta a build your own chipscope attempt 🤙 and demo that on the pico ice

I started a project page to document my first FPGA project on a long while, mainly so that I don't forget, but could possibly be useful to others... I'll plan to add subsequent projects and make more progress on this one in the next few weeks and months.

"I bought myself a Radiona ULX3S from CrowdSupply, which includes the 85k Lattice ECP5 FPGA, which can be programmed to simulate the open source 32-bit RISC-V CPU with a completely open source LiteX-yosys-nextpnr, toolchain."

blog.bomorgan.io/hobbies/hardw

#riscv #foss #fpga #litex #yosys #nextpnr #linux #crowdsupply #radiona #ulx3s #lattice #ecp5

A hole in the lattice gate that closes off one of the buildings frames an open window of the Bibi-Khanym Mosque in Samarkand, Uzbekistan.

#bibikhanymmosque #samarkand #uzbekistan #centralasia #mosque #islamicarchitecture #lattice #travel
2025-02-04

"SEDIMENT GRID: A LATTICE OF FADING SIGNALS". Abstract digital painting by A.G. (c) 2025. All Rights Reserved.

Chuck Darwincdarwin@c.im
2025-01-22

Cheap, smart, deadly. The tech industry pitches a new way to wage war.

Anduril Industries hopes it can transform the U.S. military under the new Trump administration.

It imagines the nation defended by fleets of deadly aerial and undersea drones that can tirelessly patrol the world with minimal need for human intervention, poised to strike if ordered to.

Anduril has deep ties to President Donald Trump’s tech funders and advisers.

It is the most prominent among a raft of defense upstarts aiming to challenge established defense contractors by recasting U.S. military technology around nimble drones and software,
instead of giant ships and expensive aircraft.

“It’s about making much-lower-cost, easy-to-produce and mass-manufacture weapons that we can resupply in a time of war,”
said #Brian #Schimpf, chief executive and co-founder of the eight-year-old company.

That approach is winning support inside the Pentagon as it grapples with a major challenge to U.S. power just inherited by Trump.

It is starkly illustrated by a military operation that took place one night this past April, after Iran fired more than 300 missiles and self-destructing drones at Israel from Iran, Iraq, Yemen and Lebanon.

“We are paying millions to shoot down something that costs thousands,”
Adm. Samuel Paparo, commander of the U.S. Indo-Pacific Command, said last month at the Reagan National Defense Forum in Simi Valley, California.
“We’re on the wrong end of that.”

That asymmetry contributes to another headache for the Defense Department.

War in the Middle East, Russia’s continuing assault on Ukraine, and China’s escalating rhetoric about controlling Taiwan have stretched U.S. weapons stocks and defense industry supply chains,
as the Pentagon supplies allies like Israel in addition to U.S. forces.

If the United States went to war with China, it would run out of long-range precision missiles in less than a week,
according to a 2023 report from the Center for Strategic and International Studies, a think tank.

Anduril is headquartered in the former Los Angeles Times printing press a 30-minute drive from the site of the drone demonstration.

Out front sat an open-topped military humvee owned by #Palmer #Luckey,
the most high-profile of the company’s five co-founders.

He previously sold virtual reality start-up Oculus VR to Facebook at the age of 21 for $2 billion
and was for years one of the few prominent Trump supporters among tech elites
-- until Elon Musk and others embraced the former president in 2024.

Anduril, christened for a sword in “The Lord of the Rings” whose Elvish name means “Flame of the West,”
cultivates a culture starkly different from established defense contractors based in Beltway office parks.

The designs of the company’s sensor towers and cruise missiles evoke military hardware seen in Japanese sci-fi anime shows.

In November, the company launched a merch store featuring Hawaiian shirts modeled by Luckey
and keepsakes from exploded prototypes.

The start-up, which has received more than $4 billion in funding,
started out selling surveillance towers to U.S. Customs and Border Protection.

It now has a lineup of eight aerial and aquatic surveillance and attack drones,
with customers including the Pentagon and some U.S. allies.

Its #Lattice software, used in the drone demonstration, provides a way to link up and control different robots, sensors and other military equipment,
-- a kind of operating system for war.
washingtonpost.com/technology/

2025-01-08

In the mood for the littlest bit of #FPGA #GameDev? 🤓 Check out this pico-ice based #pong demo. Just need #VGA #pmod and #UART connected to host PC. #HDL #hardware #RTL #Verilog #VHDL #HLS #lattice #ice40 github.com/JulianKemmerer/Pipe

2025-01-02

Another Thursday project idea for formalizing stuff in Mizar: The Icosians!

The Icosian group is isomorphic to the binary icosahedral group, but built out of quaternions.

We can use them to form a ring, also (confusingly) called the Icosians.

You can then form a lattice out of them, and it's isomorphic to the root lattice for the E8. It's really quite amazingly beautiful!

#Mizar #Quaternions #Icosians #ProofAssistant #E8 #Lattice

thmprover.wordpress.com/2025/0

2024-12-23

@ndaktuell #Anduril partnert mit #OpenAI und dem Pentagon sowie #Palantir zum Kriegseinsatz von Künstlicher Intelligenz. Das #Lattice Mesh-System führt dazu Daten aus verschiedenen Quellen zusammen.
So funktioniert das:
technologyreview.com/2024/12/1

Léo Ducas 🇺🇦 ∀,≡,⊂ducasleo@mathstodon.xyz
2024-12-10

Ok, here is my very first serious math post. I'm going to do this at least once a week.

#Math4Crypto #Lattice #Torus #LocalitySensitiveHashing #TrainOfMathematicalThought.
*Locality Sensitive Hashing over the Torus, or how I fooled myself twice.*

Locality Sensitive Hashing (LSH) over a metric space is the task of tiling the space such that two close points are likely to fall in the same tile. The tile need not be periodic, but they typically are for algorithmic convenience. One example application is the "Shazam app": quickly find a song from a noisy recording of it, maybe having preprocessed the database of songs. But if you know me, you can certainly imagine that I will use them to break cryptography.

It is somewhat similar to two other tasks: coding and quantizing. For coding we want the tiles to have a large inner radius: that is the amount of error tolerated (see my banner !). For quantization (aka: lossy compression from continuous to discrete data), we want minimize the average distance to the center of the tile.

For LSH, what we want is that if we add a small error to a random point in a tile, the probability that the error drags us outside the tile is low: that is the probability that you will miss out on detecting a pair of close points. For a small error of radius \(\epsilon\), a tile of volume \(V\) and surface \(S\), you can quickly convince yourself that the failure probability is roughly proportional to \(S \cdot \epsilon / V\). Minimizing \(S/V\) is a well known question: the isoperimetric inequality. The best shape for the tiles would be Euclidean balls... if only they could tile Euclidean spaces.

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