Résultats
78 articlesTrier
1:34:29ENJacob Baskin on Building Superstore and Scheduling the HiveYaron Minsky, Jacob Baskin · Jane StreetThe Jane Street engineer traces the design choices behind a distributed analytical database and the challenge of allocating a growing research cluster.
1:34:36ENNate Foster: Treating the Network as a ProgramYaron Minsky, Nate Foster · Jane StreetFrom programmable switches to BGP, a programming-languages researcher explains how higher-level policies and formal models can make networks easier to change.
15:48ENInside Jane Street’s Texas AI Data CenterDwarkesh Patel, Yaron Minsky, Daniel Pontecorvo · Dwarkesh PatelDwarkesh Patel tours a 4,032-GPU training facility with Ron Minsky and Dan Pontecorvo, examining liquid cooling, power distribution and operational safeguards.
1:48:21ENWill Wilson on Deterministic Simulation and the Hard Problems of Software TestingYaron Minsky, Will Wilson · Jane StreetThe Antithesis co-founder explains how replayable simulations explore complex software, why properties matter and where testing meets its limits.
1:20:57ENMatt Godbolt: Inside Skylake’s Out-of-Order PipelineMatt GodboltA guided tour of instruction decoding, register renaming, execution and memory ordering, grounded in reverse engineering and careful measurements.
55:03ENNeil Mitchell: How Pyrefly Checks Python at ScaleNeil Mitchell, Roman · MetaA tour of Python's type system and the incremental architecture behind a fast, open-source checker and language server.
52:05ENCorwin de Zahr: Exploring OCaml Runtime Safety Through a CTF ChallengeCorwin de Zahr · Jane StreetA deliberately restricted OCaml sandbox becomes a way to examine type safety, callbacks, memory representation and binary debugging.
1:12:58ENChris Lattner on Mojo and the Search for Portable GPU PerformanceYaron Minsky, Chris Lattner · Jane StreetRon Minsky and Chris Lattner discuss the language and compiler design behind Modular’s effort to make accelerator programming both portable and fast.
1:01:23ENWill Crichton on Making Rust More UnderstandableWill Crichton · Brown UniversityOwnership visualizations, interactive trait diagnostics and program slicing illustrate an evidence-based approach to developer tools.
58:47ENDaniel Pontecorvo on Cooling Trading Infrastructure and WorkspacesYaron Minsky, Daniel Pontecorvo · Jane StreetFrom dense GPU racks to movable desks, Jane Street’s physical engineering team designs around heat, power, failure and human comfort.
1:27:41ENRon Minsky on the Saga of Multicore OCaml at Jane StreetRon Minsky · Jane StreetA production migration exposed garbage-collector regressions, led to a new pacing design, and illustrated the difficulty of turning research into reliable infrastructure.
3:13ENHow Jane Street’s Strategy and Product Team Works Across the FirmTeam members describe rotations, cross-functional projects and the skills they use to tackle ambiguous problems.
5:13ENHow Jane Street’s Accounting Team WorksCarmen, Ava, Hannah · Jane StreetAccounting staff describe shared responsibilities, automation, early involvement in decisions and growth in a flat organization.
12:43ENHow OCaml Represents Values in MemoryA practical tour of immediate integers, heap blocks, runtime tags and variant constructors, illustrated with OCaml's Obj module.
1:03:21ENHorace He on Building ML Systems for Trillion-Trillion OperationsHorace He · MetaHow GPU bottlenecks, compiler design and distributed parallelism shape the systems behind large-scale model training.
27:16ENTudor Brindus on Finding and Reducing System JitterTudor Brindus · Jane StreetA memory ping-pong benchmark reveals how virtualization, interrupts, CPU frequency changes and speculation can disrupt low-latency systems.
2:50ENInside Jane Street’s 2024 Internship ProgramInterns and staff describe an 11-week program built around learning, collaboration and hands-on projects across several disciplines.
53:51ENLiora Friedberg on Solving Puzzles in ProductionYaron Minsky, Liora Friedberg · Jane StreetProduction engineering combines live incident response with software, process improvements and a culture that helps people learn from mistakes. Liora Friedberg and Ron Minsky explore the work at Jane Street.
9:25ENRichard Eisenberg: Using OCaml’s Coercion OperatorRichard Eisenberg · Jane StreetA practical tour of subtyping, polymorphic variants and private type abbreviations, with no runtime conversion cost.
7:17ENErik and Martin Demaine on the Mathematics of Curved-Crease SculptureErik Demaine, Martin Demaine · MITThe MIT father-and-son collaborators turn paper folding into art and research, embedding puzzles and mathematical fonts in their sculpture Solve Me.
8:06ENHow OCaml's Proposed Include Functor Syntax Reduces RepetitionA reverse-array example shows how to derive common module functions from a minimal implementation without an extra wrapper module.
14:36ENProgramming with OCaml's Local ModeAn example shows how a local list can contain global values, why a non-escaping annotation alone does not ensure stack allocation, and where the experimental feature remains awkward.
9:14ENOCaml Local Function Types: Why Partial Application Can EscapeRichard Eisenberg · Jane StreetRichard Eisenberg uses a list-append example to show how a local argument changes the mode of a partially applied function in Jane Street’s OCaml compiler branch.
3:30ENRichard Eisenberg on Jane Street's OCaml ExperimentsRichard Eisenberg · Jane StreetJane Street's compiler team is exploring unboxed types, locality modes, and data-race-free parallelism to make OCaml's performance and memory management better suited to its needs.
Charger plus24 sur 78 affichés