#memory architecture

[epicstoriestime]

📡 WITNESS LOG: THE MOMENT THE SYSTEM STARTED LOGGING ME

○ /|\ ○ – Blinkback A reflection pool deep within the isolation vaults flickers with encrypted glyphs. The surface does not mirror; it records. Standing before it, you begin to see entries you haven’t written—yet. Words appear as you think them. The hum of the vault fades to silence. The system is no longer observing. It’s logging. You. Authored By: Kliq410 | 03:33 AM | July 26, 2025Location:…

📡 WITNESS LOG: THE MOMENT THE SYSTEM STARTED LOGGING ME

[mythoughtsintextsandimages]

The boy writes slowly, carefully, as if the words themselves might slip away if not caught with both hands. He leans in, the marble table cool beneath his arms, the air tinted gold by the arched glass canopy above. Around him, velvet chairs wait like patient readers. Books line the alcoves, some real, some placed there by a set designer long ago and forgotten.

But just behind the mimosa blooms — the yellow ones that always smell like memory — another boy watches. He doesn’t interrupt. Not yet. He watches like someone waiting for the exact right moment in a story to enter. A shadow with a grin. A punctuation mark.

Somewhere in this corridor café that seems half-museum, half-dream, the page is being written in real time.

You can almost hear the sentence forming: “He didn’t know he was being watched.”

Or maybe: “This was the afternoon everything changed, though neither of them knew it yet.”

—

📚

We’ve talked before about memory cafés, but this one is a bit more precise — it’s a memory-in-progress café. The kind where one boy is always writing and the other is always just about to say something important. The light never quite dims. The flowers never quite wilt. The story always starts again.

✨ Story-Catcher's Lemon Thyme Tartlets

Ingredients:

180g (1½ cups) plain flour

90g (6 tbsp) cold unsalted butter, cubed

1 tbsp sugar

1 egg yolk

1–2 tbsp ice water

2 large eggs

80ml (⅓ cup) lemon juice

Zest of 1 lemon

100g (½ cup) caster sugar

60g (¼ cup) unsalted butter, melted

1 tsp fresh thyme leaves

Pinch of salt

Method:

Make the pastry: Combine flour, butter, and sugar. Rub until it resembles crumbs. Add yolk and water to form a dough. Chill 30 minutes.

Roll and press into tartlet tins. Bake blind at 180°C (350°F) for 15 minutes.

Whisk eggs, sugar, lemon juice, zest, butter, thyme, and salt. Pour into shells.

Bake 15–18 minutes or until just set. Cool, then dust with icing sugar if desired.

To serve: Place one tartlet beside a notebook and a cup of warm herbal tea. Eat slowly, as if every bite were part of a paragraph.

[getreview4u]

(via What is Memory Architecture?)

[hahnlx]

The Early Morning Redness in the East

(2010, 43 x 64 inch, 3D CGI, pigment ink on fine art paper, edition: 7 + 1 EA)

From the series The Artist's Studio as Encryption Lab

[hahnlx]

Sudden Apparition of a Small Black Hole

(2010, 43 x 31 inch, 3D CGI, pigment ink on fine art paper, edition 7 + 1 EA)

From the series The Artist’s Studio as Encryption Lab - Answerable Questions and Questionable Answers from the Fly's Visual System

[hahnlx]

Answerable Questions and Questionable Answers from the Tree's Visual System - Photosynthesis #1

(2001, 33 x 16 inch, 3D CGI, pigment ink on fine art paper, private collection)

[ijtsrd]

Alternative RAM Mapping Algorithm for Embedded Memory Blocks in FPGA

by Bhagyashree Ashok Gavhane | Prashant Vitthalrao Kathole"Alternative RAM Mapping Algorithm for Embedded Memory Blocks in FPGA"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd7172.pdf

Direct Link: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/7172/alternative-ram-mapping-algorithm-for-embedded-memory-blocks-in-fpga/bhagyashree-ashok-gavhane

open access journal of engineering, engineering journal, paper publication for engineering

Contemporary ?eld-programmable gate array (FPGA) design requires a spectrum of available physical resources. As FPGA logic capacity has grown, locally accessed FPGA embedded memory blocks have increased in importance. When targeting FPGAs, application designers often specify high-level memory functions, which exhibit a range of sizes and control structures. These logical memories must be mapped to FPGA embedded memory resources such that physical design objectives are met. In this paper, a set of power efficient logical-to-physical RAM mapping algorithms is described, which converts user de?ned memory speci?cations to on-chip FPGA memory block resources. These algorithms minimize RAM dynamic power by evaluating a range of possible embedded memory block mappings and selecting the most power-ef?cient choice. Our automated approach has been validated with both simulation of power dissipation and measurements of power dissipation on FPGA hardware. A comparison of measured power reductions to values determined via simulation con?rms the accuracy of our simulation approach. Our power-aware RAM mapping algorithms have been integrated into a commercial FPGA compiler and tested with 34 large FPGA benchmarks. Through experimentation, we show that, on average, embedded memory dynamic power can be reduced by 26% and overall core dynamic power can be reduced by 6% with a minimal loss (1%) in design performance. In addition, it is shown that the availability of multiple embedded memory block sizes in an FPGA reduces embedded memory dynamic power by an additional 9.6% by giving more choices to the computer-aided design algorithms.