Monolithic silicon chips are hitting physical manufacturing size limits and soaring defect costs; the DICE modeling framework provides end-to-end physical-layer simulation for modular multi-chiplet packaging.
For six decades, Moore's Law drove microelectronics by shrinking transistors on monolithic silicon dies. Today, advanced processor dies have grown so massive that fabrication yields plummet, making giant single-die chips economically unsustainable.
The semiconductor industry is rapidly shifting to chiplets—disaggregating processors into smaller, modular silicon dies connected via high-density packaging. However, modeling high-speed inter-chiplet signal integrity, latency, and thermal cross-talk presented a severe engineering blind spot.
DICE (Detailed Inter-Chiplet End-to-End PHY Modeling) introduces an architectural simulation platform that accurately models the physical layer (PHY), die-to-die interconnect wires, and signal loss across advanced 2.5D and 3D packaging substrates.
DICE enables semiconductor architects to optimize next-generation AI accelerators and multi-core server processors, slashing design iterations and accelerating the transition to modular chiplet computing.
DICE: Detailed Inter-Chiplet End-to-End PHY Modeling for Accurate Chiplet Simulation
Scaling monolithic multicores is increasingly constrained by power/thermal limits, yield, and rising manufacturing and testing costs. Chiplet designs address these challenges by partitioning large dies into smaller parts (typically multiple core-complex dies and an I/O die) linked via high-bandwidth physical fabrics (PHY). As bandwidth and wiring density scale, however, these short-reach links are pushed closer to their signal-integrity limits, increasing susceptibility to noise, crosstalk, and channel loss, motivating stronger link-level reliability mechanisms such as forward error correction (FEC). Despite this trend, state-of-the-art simulation infrastructures often approximate inter-chiplet links using oversimplified, fixed-latency models. Such abstractions overlook the inherently dynamic, runtime-dependent behavior of the PHY -- including channel conditions (e.g., signal-to-noise ratio shifts, signal crosstalk, clock jitter), iterative decoder convergence and packet retransmissions, and application dynamics (e.g., LLC-misses that travel across chiplet boundaries) -- all of which are hard to determine offline. We show that neglecting these effects distorts inter-chiplet packet-level timing and high-level performance metrics such as IPC, leading to off-trend simulation results. We present DICE, an in-simulation, runtime PHY modeling in gem5 that captures the end-to-end inter-chiplet datapath, including QC-LDPC encoding/decoding, PAM4 modulation, lossy-channel transmission, LLR-based demodulation, adaptive packet re-sending, and PHY-level flow control between chiplets.
Telecommunication engineers believed that static noise permanently corrupted electrical signals; Claude Shannon proved that information can be transmitted with zero errors across noisy channels by converting meaning into binary bits. Published in 1948, Shannon’s masterwork founded information theory and created the digital language of the modern world.
Physical sensors in rockets and satellites are constantly corrupted by noise, vibration, and sensor drift; Rudolf Kalman developed an optimal mathematical filter that predicts true position by fusing imperfect sensor readings with equations of motion in real time. Published in 1960, the Kalman Filter guided the Apollo spacecraft to the Moon and is the mathematical brain powering every GPS receiver, autonomous drone, and commercial jetliner on Earth.
Computer scientists believed that mastering the ancient game of Go required human intuition that machines would not achieve for decades; DeepMind’s AlphaGo paired deep neural networks with Monte Carlo tree search to defeat the world champion. Published in 2016, AlphaGo proved that deep reinforcement learning could exhibit genuine creative intuition, sparking the modern Artificial General Intelligence revolution.
For thousands of years, secret communication required sending a physical key via a trusted courier before a message could be sent; Whitfield Diffie and Martin Hellman proved that two total strangers can agree on a shared secret over a compromised public channel. Published in 1976, this mathematical breakthrough invented public-key cryptography and made secure global e-commerce possible.
Multiplying two massive prime numbers takes a fraction of a second on a computer; factoring that product back into its original primes takes millions of years. By anchoring asymmetric encryption to the asymmetry of prime numbers, Ron Rivest, Adi Shamir, and Leonard Adleman created RSA—the cryptographic algorithm that encrypts every browser connection, banking transfer, and software update on Earth.
Albert Einstein spent his final decades insisting that quantum entanglement was an incomplete illusion masking hidden common-sense variables; John Stewart Bell devised a single mathematical inequality that allowed laboratory experiments to test whether Einstein or quantum mechanics was right. Published in an obscure, short-lived journal in 1964, Bell’s Theorem proved that the physical universe is fundamentally non-local—founding modern quantum computing, quantum cryptography, and quantum teleportation.
Physical clocks drift out of sync across distributed computer networks because electrical signals cannot travel faster than the speed of light; Leslie Lamport defined time through cause-and-effect causality rather than ticking seconds. Published in 1978, Lamport’s logical clock paper is the most cited work in distributed systems, establishing the foundational physics of cloud computing.
Storing millions of search queries in computer memory wastes vast amounts of expensive hardware; Bloom filters verify whether a record exists using a tiny fraction of a single bit per item. Published in 1970 to speed up hyphenation in typesetting machines, Burton Bloom’s compact data structure now speeds up every Google search query and Bitcoin transaction on Earth.
Ask this paper your own questions, or keep browsing the verified research catalogue.
